FramePack 1-Click Installers for Windows, RunPod and Massed Compute, Image-to-Video with as Low as 6 GB VRAM and can Generate Up to 120 seconds videos

Furkan Gözükara

hello this is out of RAM. if your virtual disk is full it might be why. your disk space is full? did you set 100 GB virtual ram?

jacky0409

Since yesterday, Framepack won't launch and I'm getting an error. Hugging Face cache folders set to: E:\FramePack_v61\FramePack\models Skipping import of cpp extensions due to incompatible torch version 2.8.0+cu129 for torchao version 0.14.1 Please see https://github.com/pytorch/ao/issues/2919 for more info W1029 18:25:00.089000 13200 venv\Lib\site-packages\torch\distributed\elastic\multiprocessing\redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. Currently enabled native sdp backends: ['flash', 'math', 'mem_efficient', 'cudnn'] Xformers is installed! Flash Attn is installed! Sage Attn is installed! Namespace(share=False) Free VRAM 10.7919921875 GB High-VRAM Mode: False Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 8.53it/s] Loading initial transformer model: Original FramePack Loading checkpoint shards: 33%|███████████████████ | 1/3 [00:00<00:00, 8.01it/s] It stops at the execution stage and says, "Press any button to continue." Why is this happening? How can I fix it? I'm using v61, a completely fresh install.

Furkan Gözükara

yes it works up to a degree give it a try

Christoph Behrmann

wow, I just found out that you added multiple output resolutions for video gen with up to 1080... I have not tested yet, but are you sure that lllyasviel/FramePackI2V_HY works for more than 480p just because it is build on 480p base model? (I am looking since 2 weeks for some solution to make FramePack or FramePack Studio work with larger video output than 480p, that is why I was going more deep into lllyasviel/FramePackI2V_HY AI model)

Furkan Gözükara

hi is this comfyui? please give morre info

Christoph Behrmann

Furkan Gözükara

Not with this app sadly. But you can use with SwarmUI : https://youtu.be/3BFDcO2Ysu4

Hockey

Is it possible to use this with Wan 2.2?

Furkan Gözükara

nope sadly. you need to run 2 instance of FramePack

Lawren

Hey Furkan, Quick question for you.. If I rent two GPUs from Massed Compute, can you assign both of them to a single instance of FramePack?

Lawren

This is VM Massed Compute Install Shell script.

Lawren

Error from FramePack_v59 most likely due to silent updates to dependencies: Ubuntu@0328-kci2-prxmx100090:~/Downloads/FramePack_v59$ export PYTHONWARNINGS=ignore cd FramePack source ./venv/bin/activate export HF_HUB_ENABLE_HF_TRANSFER=1 python3 app.py --share Traceback (most recent call last): File "/home/Ubuntu/Downloads/FramePack_v59/FramePack/venv/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1778, in _get_module return importlib.import_module("." + module_name, self.__name__) File "/home/Ubuntu/.pyenv/versions/3.10.16/lib/python3.10/importlib/__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "", line 1050, in _gcd_import File "", line 1027, in _find_and_load File "", line 1006, in _find_and_load_unlocked File "", line 688, in _load_unlocked File "", line 883, in exec_module File "", line 241, in _call_with_frames_removed File "/home/Ubuntu/Downloads/FramePack_v59/FramePack/venv/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 32, in from ...modeling_flash_attention_utils import _flash_attention_forward File "/home/Ubuntu/Downloads/FramePack_v59/FramePack/venv/lib/python3.10/site-packages/transformers/modeling_flash_attention_utils.py", line 27, in from flash_attn.bert_padding import index_first_axis, pad_input, unpad_input # noqa File "/home/Ubuntu/Downloads/FramePack_v59/FramePack/venv/lib/python3.10/site-packages/flash_attn/__init__.py", line 3, in from flash_attn.flash_attn_interface import ( File "/home/Ubuntu/Downloads/FramePack_v59/FramePack/venv/lib/python3.10/site-packages/flash_attn/flash_attn_interface.py", line 15, in import flash_attn_2_cuda as flash_attn_gpu ImportError: /home/Ubuntu/Downloads/FramePack_v59/FramePack/venv/lib/python3.10/site-packages/flash_attn_2_cuda.cpython-310-x86_64-linux-gnu.so: undefined symbol: _ZN3c104cuda9SetDeviceEa The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/Ubuntu/Downloads/FramePack_v59/FramePack/app.py", line 30, in from transformers import LlamaModel ,CLIPTextModel ,LlamaTokenizerFast ,CLIPTokenizer File "", line 1075, in _handle_fromlist File "/home/Ubuntu/Downloads/FramePack_v59/FramePack/venv/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1767, in __getattr__ value = getattr(module, name) File "/home/Ubuntu/Downloads/FramePack_v59/FramePack/venv/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1766, in __getattr__ module = self._get_module(self._class_to_module[name]) File "/home/Ubuntu/Downloads/FramePack_v59/FramePack/venv/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1780, in _get_module raise RuntimeError( RuntimeError: Failed to import transformers.models.llama.modeling_llama because of the following error (look up to see its traceback): /home/Ubuntu/Downloads/FramePack_v59/FramePack/venv/lib/python3.10/site-packages/flash_attn_2_cuda.cpython-310-x86_64-linux-gnu.so: undefined symbol: _ZN3c104cuda9SetDeviceEa (venv) Ubuntu@0328-kci2-prxmx100090:~/Downloads/FramePack_v59/FramePack$

Furkan Gözükara

yes that is undervolt crash

koon grizzly

Is anyone with a RTX 3090 able to undervolt AND use framepack? Even the default undervolt settings (850mv - 1800mhz) make the card crash as soon as i use framepack, i even tested 1750mhz I ran long tests, played games for a couple of hours that took the card all the time to 99% load. Everything runs perfect. Until i start framepack. When the card is at default everything works fine but that card goes up to 390 watts and my pc used 21.5kwu this weekend lol This is the error i get in Framepack : ERROR DURING GENERATION: CUDA error: an illegal memory access was encountered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1 Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. ================================================== Traceback (most recent call last): File "C:\framepackmodded\FramePack\app.py", line 1575, in worker generated_latents =sample_hunyuan ( File "C:\framepackmodded\FramePack\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) File "C:\framepackmodded\FramePack\diffusers_helper\pipelines\k_diffusion_hunyuan.py", line 116, in sample_hunyuan results = sample_unipc(k_model, latents, sigmas, extra_args=sampler_kwargs, disable=False, callback=callback) File "C:\framepackmodded\FramePack\diffusers_helper\k_diffusion\uni_pc_fm.py", line 141, in sample_unipc return FlowMatchUniPC(model, extra_args=extra_args, variant=variant).sample(noise, sigmas=sigmas, callback=callback, disable_pbar=disable) File "C:\framepackmodded\FramePack\diffusers_helper\k_diffusion\uni_pc_fm.py", line 118, in sample model_prev_list = [self.model_fn(x, vec_t)] File "C:\framepackmodded\FramePack\diffusers_helper\k_diffusion\uni_pc_fm.py", line 23, in model_fn return self.model(x, t, **self.extra_args) File "C:\framepackmodded\FramePack\diffusers_helper\k_diffusion\wrapper.py", line 37, in k_model pred_positive = transformer(hidden_states=hidden_states, timestep=timestep, return_dict=False, **extra_args['positive'])[0].float() File "C:\framepackmodded\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "C:\framepackmodded\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) File "C:\framepackmodded\FramePack\diffusers_helper\models\hunyuan_video_packed.py", line 986, in forward hidden_states, encoder_hidden_states = self.gradient_checkpointing_method( File "C:\framepackmodded\FramePack\diffusers_helper\models\hunyuan_video_packed.py", line 836, in gradient_checkpointing_method result = block(*args) File "C:\framepackmodded\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "C:\framepackmodded\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) File "C:\framepackmodded\FramePack\diffusers_helper\models\hunyuan_video_packed.py", line 598, in forward hidden_states = gate * self.proj_out(hidden_states) File "C:\framepackmodded\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "C:\framepackmodded\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) File "C:\framepackmodded\FramePack\venv\lib\site-packages\peft\tuners\lora\layer.py", line 712, in forward result = self.base_layer(x, *args, **kwargs) File "C:\framepackmodded\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "C:\framepackmodded\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) File "C:\framepackmodded\FramePack\venv\lib\site-packages\torch\nn\modules\linear.py", line 125, in forward return F.linear(input, self.weight, self.bias) File "C:\framepackmodded\FramePack\diffusers_helper\memory.py", line 26, in hacked_get_attr return torch.nn.Parameter(p.to(**kwargs), requires_grad=p.requires_grad) RuntimeError: CUDA error: an illegal memory access was encountered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1 Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. ================================================== Error during memory cleanup after exception: CUDA error: an illegal memory access was encountered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1 Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

Furkan Gözükara

i didnt put into downloader yet but loras working great.

Furkan Gözükara

hi files are saved inside tmp inside installed folder. you can delete it anytime. 16 GB works perfect. just make sure to have virtual RAM set. like 64 GB virtual ram

Furkan Gözükara

yes your error is you dont have python 3.10.11 installed. you have to have it.

Salihz

Hello, I got these error with the Windows Install, could you tell me what I did wrong ? Defaulting to user installation because normal site-packages is not writeable ERROR: flash_attn-2.7.4.post1-cp310-cp310-win_amd64.whl is not a supported wheel on this platform. Defaulting to user installation because normal site-packages is not writeable ERROR: deepspeed-0.16.5-cp310-cp310-win_amd64.whl is not a supported wheel on this platform. Defaulting to user installation because normal site-packages is not writeable ERROR: sageattention-2.1.1+cu128torch2.7.0-cp310-cp310-win_amd64.whl is not a supported wheel on this platform. Defaulting to user installation because normal site-packages is not writeable ERROR: xformers-0.0.30+3abeaa9e.d20250424-cp310-cp310-win_amd64.whl is not a supported wheel on this platform.

PropaGandalf

I have been using an old version 0.23 and just joined again to get new one. Just want to ask, in 23, it kept all generation frames, even though I did not select to save all. So after genning a folder, I had hundreds of gigabytes of temporary frames saved. Is this fixed now so it does not keep them all? Also, I cannot run this on my 4070 16GB, it tells me this: .OutOfMemoryError: CUDA out of memory. Tried to allocate 222.00 MiB. GPU 0 has a total capacity of 15.99 GiB of which 5.82 GiB is free. Of the allocated memory 8.34 GiB is allocated by PyTorch, and 532.07 MiB is reserved by PyTorch but unallocated... It works on my 4090. But is it not supposed to work on even 6GB? HOw come it wont run on 16?

Tomas Villarreal

Have a way to put a new Hunyuan model? like one from civitai?

Furkan Gözükara

yes this repo supports but i didnt do yet : https://github.com/kohya-ss/musubi-tuner

cool1

The latest update says about Loras working - is it going to be possible for us to train a Lora for it or is that unlikely for local windows pcs?

Furkan Gözükara

disable vpn. probably it is breaking. or bypass somehow

Furkan Gözükara

you are welcome

Furkan Gözükara

it already takes time to init so we cant make it bigger :(

Furkan Gözükara

sadly not because framepack not trained for Wan 2.1 :(

Tomas Villarreal

Have a way to replace Hanyuan for Wan 2.1? cuz Wan 2.1 give me better results in comfyui, the Hanyuan ones feels like dosnt move too much

David

Update: I tried SWARMUI with WAN i2v, it also fills both cards' memories (it looks like it's the same data in both cards since it's exactly the same amount of memory used) but only one works, and then runs out of memory

David

Hi! I just got an nvlink bridge for 2x RTX3090. I noticed that while in sli mode, the memory for both video cards fills up equally but the gpu processor usage goes up just for one. And it takes the same time to generate using sli or disabling it (When disabling it, only 1 gpu memory is filled and only that gpu's processor works). Is there a way to take advantage of the full 48gb fo memory using framepack? Haven't tested SwarmUI yet. Thanks!

cool1

Can you (or maybe in the app) explain more about how the resolution, target width and target height work? Why does it seem to work differently for FramePack F1 compared to FramePack (standard)? eg. for the last few tries, I've been entering (as far as I know) resolution: 720, target width: 1280, target height 720. Why do we need the extra "resolution" now that we have both the width & height settings? Is it generating it at a lower resolution and then scaling it to the target width & height or something else? When I created a FramePack with those settings (res 720, target width 1280, target height 1280) it created video with that size. The output .txt file says: Model: Original FramePack Resolution: 720 Final Width: 1280 Final Height: 720 so that seems right. The output video is 1280x720 pixels. When I'm created a video in with FramePack F1 I used the same settings I think, but it comes out lower resolution. eg. now I'm creating videos in batch mode with FramePack F1, in the GUI I entered: Resolution 720, Target Width: 1280, Target Height: 720. Each of the image files in the source folder are 1280x720 pixels. but the temporary output metadata file says: Model: FramePack F1 Resolution: 720 Final Width: 960 [why not 1280?] Final Height: 512 [why not 720?] and my intermediate video files are showing as 960x512 (which is 1.875:1). Why isn't it 1280x720 (1.778:1) like my normal FramePack video was? Is FramePack F1 more limited in width & height it can use? How can I get it to output 1280x720 videos when using FramePack F1? I can do it by entering 1280 width & 720 height when doing FramePack videos but it doesn't work for FramePack F1. Maybe it's because one of the values has to be divisible by 32 or some other number (720 isn't evenly divisible by 32) but it doesn't show in the UI which values need to be divisible by what numbers. It would help if it did. But I don't see why 1280x720 worked for FramePack but not for FramePack F1 unless they have different limits on resolutions / different bucket size limits. Ideally there could be a help page in the app that showed what the different limits are. Because the current F1 will generate them at the slightly wrong aspect ratio now even if you specify 1280x720 and it adds black bars when there weren't any in the source image. If I want FramePack F1 videos at 1280x720 should I set the width & height to 1280 × 736 (as both those are divisible by 32), while still using the same 1280x720 source images and then crop any black bars it adds later? edit: I entered 1280x736 (both divisible by 32) in batch mode with FramePack F1 but the output .txt still says Resolution: 720 Final Width: 960 Final Height: 512 Maybe it's because 960 is the max dimension FramePack F1 can do in the buckets. Though now I can't recreate the standard FramePack output where I created an output of 1280x720 and the .txt file said 1280x720. I'm sure it was from the same version of the app because I created it today. In FramePack F1. I assume I need to set "resolution" to a value >= the max resolution of the target width & height (eg. 1320 for 1280x720). It seems to work now but it would help a lot if it explained this in some help in the app. Though if it's going to do all the processing at 1320 width and then downscale it at the end to 1280x720 it might be better to have it generate at 1320 width for higher quality? Also in the output .txt file it says "RIFE FPS Multiplier: 2x FPS" but it doesn't say whether rife was enabled. I hadn't enabled refine for that generation. Also when I'm batch processing where the "use random seed" checkbox was checked, in the output file it said "Use Random Seed Setting: False". Shouldn't that have said "Use Random Seed Setting: True" when that checkbox was checked?

AI-Gals

I really love this app. Would be great if you could install it on your Massed Compute too to save the time to always install it before the magic can start ;) You really do a great job!

cool1

edit: I just read your post. Thanks for adding a .txt file the prompt info at the start.

koon grizzly

It's working :-) Easter egg for those who read the comments :-) Nice 360 camera effect : https://civitai.com/models/1236871/matrix-bullet-time-hunyuan-video-lora

koon grizzly

For those who want to see the difference between activated or not activated lora : (all settings, prompt, seed are same in both videos) 1: without drone shot activated : https://youtu.be/dTB6p5KwyHw 2: with drone shot lora activated : https://youtu.be/U-cq8OT93r8

koon grizzly

At the start of the creation it does say the lora has been loaded. so i wonder why it's not doing what it is supposed to do :-) LoRA Change Detected: Target=['high-speed-drone-shot-hunyuan-v1.0-heavy-vfx_ai', None, None, None], Current=['high-speed-drone-shot-hunyuan-v1.0-heavy-vfx_ai', None, None, None] Unloading previous LoRA structures... Unloading LoRA using disable_adapters method Cleared peft_config. Successfully unloaded all previous LoRAs. Loading new LoRA structure: high-speed-drone-shot-hunyuan-v1.0-heavy-vfx_ai from C:\framepackmodded\FramePack\loras\high-speed-drone-shot-hunyuan-v1.0-heavy-vfx_ai.safetensors LoRA weights loaded successfully. Successfully loaded structure for high-speed-drone-shot-hunyuan-v1.0-heavy-vfx_ai. Final currently_loaded_lora_info: [{'adapter_name': 'high-speed-drone-shot-hunyuan-v1.0-heavy-vfx_ai', 'lora_path': 'C:\\framepackmodded\\FramePack\\loras\\high-speed-drone-shot-hunyuan-v1.0-heavy-vfx_ai.safetensors'}, {'adapter_name': None, 'lora_path': None}, {'adapter_name': None, 'lora_path': None}, {'adapter_name': None, 'lora_path': None}]

koon grizzly

Can somebody confirm they got a working Lora in framepack F ? I have been working a couple of days with framepack studio with a drone shot lora ( https://civitai.com/models/1247109/high-speed-drone-shot-hunyuan-video-lora ) It really works will in there and gives fast motion videos but when i load the lora in this version (same prompt, settings, seed,...) the speed of the camera is the same, as if the lora isn't loaded.

Junior

Hugging Face cache folders set to: D:\FramePack_v53\FramePack\models W0524 16:46:50.058000 30444 venv\Lib\site-packages\torch\distributed\elastic\multiprocessing\redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. Currently enabled native sdp backends: ['flash', 'math', 'mem_efficient', 'cudnn'] Xformers is installed! Flash Attn is installed! Sage Attn is installed! Namespace(share=False) Free VRAM 14.6953125 GB High-VRAM Mode: False Downloading shards: 100%|██████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 2535.09it/s] Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 10.49it/s] Loading initial transformer model: Original FramePack Fetching 3 files: 100%|██████████████████████████████████████████████████████████████████████████| 3/3 [00:00 block .launch ( File "D:\FramePack_v53\FramePack\venv\lib\site-packages\gradio\blocks.py", line 2685, in launch raise Exception( Exception: Couldn’t start the app because 'http://127.0.0.1:7860/gradio_api/startup-events' failed (code 502). Check your network or proxy settings to ensure localhost is accessible. 请按任意键继续. . .

Furkan Gözükara

yes fixed yesterday sorry for this error - update to latest please

Furkan Gözükara

where do you hear any source of this? i dont see here : https://github.com/colinurbs/FramePack-Studio/commits/main/

koon grizzly

Have you tested with another photo ? Sometimes a photo don't want to work well for me also

The Explorographer

In the latest version, no matter what I put in the prompt, all it does is make my character blink his eyes. That isn't even part of my prompt. Any ideas?

koon grizzly

I hear They fixed the online problem in the new update from framepack studio 0.3, no more need to have internet connection (edit, deleting and reinstalling with your installer also gave the updated version)

koon grizzly

Batch process seems broken for me, gives error and don't want to start, deleted venv directory and new install but problem not fixed. Found 66 images. Sorting naturally... Traceback (most recent call last): File "C:\framepackmodded\FramePack\venv\lib\site-packages\gradio\queueing.py", line 715, in process_events response = await route_utils.call_process_api( File "C:\framepackmodded\FramePack\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "C:\framepackmodded\FramePack\venv\lib\site-packages\gradio\blocks.py", line 2137, in process_api result = await self.call_function( File "C:\framepackmodded\FramePack\venv\lib\site-packages\gradio\blocks.py", line 1675, in call_function prediction = await utils.async_iteration(iterator) File "C:\framepackmodded\FramePack\venv\lib\site-packages\gradio\utils.py", line 735, in async_iteration return await anext(iterator) File "C:\framepackmodded\FramePack\venv\lib\site-packages\gradio\utils.py", line 729, in __anext__ return await anyio.to_thread.run_sync( File "C:\framepackmodded\FramePack\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "C:\framepackmodded\FramePack\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2470, in run_sync_in_worker_thread return await future File "C:\framepackmodded\FramePack\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 967, in run result = context.run(func, *args) File "C:\framepackmodded\FramePack\venv\lib\site-packages\gradio\utils.py", line 712, in run_sync_iterator_async return next(iterator) File "C:\framepackmodded\FramePack\venv\lib\site-packages\gradio\utils.py", line 873, in gen_wrapper response = next(iterator) File "C:\framepackmodded\FramePack\app.py", line 2373, in batch_process current_adapter_name =currently_loaded_lora_info ["adapter_name"]if currently_loaded_lora_info ["adapter_name"]else "None" TypeError: list indices must be integers or slices, not str

Furkan Gözükara

i dont understand your question

Furkan Gözükara

that means you are getting out of RAM. set your virtual RAM to 100 GB please : https://www.windowscentral.com/how-change-virtual-memory-size-windows-10

NM

hello, after every video generation, why does the consolse always say "press any key.." and shut down for me? I have to restart it after every video

koon grizzly

Thanks for another update. When you find the time, can you have a look to give us Temporally metadata files that are created as soon as the video generation starts ? Like this i will always have the seed, even if i interrupt the video or when something goes wrong and the video is not finished. Maybe it can have it's own folder to keep the finished output folder clean ?

Furkan Gözükara

540 cant be divided to 32. that camera etc are depending on the model capabilities :(

Furkan Gözükara

you can but it is better to delete venv and run installer again

puk

Hy Furkan, when i updating i get this error: Looking in indexes: https://download.pytorch.org/whl/nightly/cu128 ERROR: Could not find a version that satisfies the requirement torch==2.7.0.dev20250311 (from versions: 2.8.0.dev20250318+cu128, 2.8.0.dev20250319+cu128, 2.8.0.dev20250320+cu128, 2.8.0.dev20250321+cu128, 2.8.0.dev20250322+cu128, 2.8.0.dev20250323+cu128, 2.8.0.dev20250324+cu128, 2.8.0.dev20250325+cu128, 2.8.0.dev20250326+cu128, 2.8.0.dev20250327+cu128, 2.8.0.dev20250401+cu128, 2.8.0.dev20250402+cu128, 2.8.0.dev20250403+cu128, 2.8.0.dev20250404+cu128, 2.8.0.dev20250405+cu128, 2.8.0.dev20250406+cu128, 2.8.0.dev20250407+cu128, 2.8.0.dev20250408+cu128, 2.8.0.dev20250409+cu128, 2.8.0.dev20250410+cu128, 2.8.0.dev20250411+cu128, 2.8.0.dev20250412+cu128, 2.8.0.dev20250413+cu128, 2.8.0.dev20250414+cu128, 2.8.0.dev20250415+cu128, 2.8.0.dev20250416+cu128, 2.8.0.dev20250417+cu128, 2.8.0.dev20250418+cu128, 2.8.0.dev20250419+cu128, 2.8.0.dev20250420+cu128, 2.8.0.dev20250421+cu128, 2.8.0.dev20250422+cu128, 2.8.0.dev20250423+cu128, 2.8.0.dev20250424+cu128, 2.8.0.dev20250425+cu128, 2.8.0.dev20250426+cu128, 2.8.0.dev20250427+cu128, 2.8.0.dev20250428+cu128, 2.8.0.dev20250429+cu128, 2.8.0.dev20250430+cu128, 2.8.0.dev20250501+cu128, 2.8.0.dev20250502+cu128, 2.8.0.dev20250503+cu128, 2.8.0.dev20250504+cu128, 2.8.0.dev20250505+cu128, 2.8.0.dev20250506+cu128, 2.8.0.dev20250507+cu128, 2.8.0.dev20250508+cu128, 2.8.0.dev20250509+cu128, 2.8.0.dev20250510+cu128, 2.8.0.dev20250511+cu128, 2.8.0.dev20250512+cu128, 2.8.0.dev20250513+cu128, 2.8.0.dev20250514+cu128, 2.8.0.dev20250515+cu128, 2.8.0.dev20250516+cu128) ERROR: No matching distribution found for torch==2.7.0.dev20250311 The App work after the update. Can i ignore the error massage?

cool1

Is there any way, with FramePack / FramePack F1 (or something like it) where we could have camera controls to control where the camera moves and how fast? eg. so we can have a camera constantly moving backwards through a street while a person walks forward at the same pace? When I put in the prompt "The camera constantly moves back through the scene at walking pace" it made the camera move forwards and the man walking walk backwards. I've seen camera controls in some online AI image to videos (that usually aren't free) in youtube videos about them. Also I've started gettting the error "ERROR DURING GENERATION: The size of tensor a (67) must match the size of tensor b (66) at non-singleton dimension 3". Is related to image size of duration? That's with target width 960, target height 540, resolution 720. I'm not sure why it needs all 3 (width, height and duration). Isn't width & height enough? The duration was set to 101 seconds. Can't it adjust things automatically so it won't get that error or give more info about it? It says width & height get snapped to the nearest bucket size (so I assume for that it should always set an okay value).

Furkan Gözükara

you need to have python 3.10.11 installed in your system. after that delete venv and make new install with latest zip

Abhishek razy

ERROR DURING GENERATION: CUDA error: an illegal memory access was encountered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1 Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. I am getting this error while running it start the generation but when 1 sec complete this error is showing and generation stop

Furkan Gözükara

i am trying to add multi lora for you right now. keep an eye on this post

Sirdrak

Very happy with the app. I just have one question: Is there a way to use multiple LoRas simultaneously, like in Framepack Studio? Or can only one be used at a time?

Furkan Gözükara

i use native code as a base published by the original developer. probably that is why. And we have all the optimizations like Teacache, Flash Attention, Sage Attention, Triton, xFormers all automatically installed into our native Windows Python VENV

Stevie Tee

Hi, I've tested your FramePack Gradio version against a couple of ComfyUI wrapper versions using the same prompts and almost identical settings and your Gradio custom version is the fastest every time. Is this because of how you have optimized it ?

Furkan Gözükara

ye sadly there are some libraries that requires to be online here read this : https://github.com/lllyasviel/FramePack/issues/298

Furkan Gözükara

i plan to make a really good gui to train wan 2.1 but didnt have time yet

Ec Jep

excellent work here! do you plan to create a training video on how to train wan2.1 with diffusion pipe or Musubi Tuner? I used your previous koyha training videos and extensively and hope to see something similar for wan2.1. Thanks

patrikeon

Hi! Is there a way to start the gui (Windows_Start_APP.bat) without being online. I’m getting errors saying for example ConnectionErrror. A common error and an easy fix? Thank you Furkan! /P

Furkan Gözükara

yes gradio error. vpn or antivirus may cause. still the work should be done and saved in outputs folder

Taiga

Sorry, you helped with my last issue. Thought you could help with this: Total worker time for 1 generation(s): 700.33 seconds (11.67 minutes) Unloaded DynamicSwap_LlamaModel as complete. Unloaded CLIPTextModel as complete. Unloaded SiglipVisionModel as complete. Unloaded AutoencoderKLHunyuanVideo as complete. Unloaded DynamicSwap_HunyuanVideoTransformer3DModelPacked as complete. ERROR:asyncio:Exception in callback _ProactorBasePipeTransport._call_connection_lost(None) handle: Traceback (most recent call last): File "C:\Users\AI\AppData\Local\Programs\Python\Python310\lib\asyncio\events.py", line 80, in _run self._context.run(self._callback, *self._args) File "C:\Users\AI\AppData\Local\Programs\Python\Python310\lib\asyncio\proactor_events.py", line 165, in _call_connection_lost self._sock.shutdown(socket.SHUT_RDWR) ConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host

Furkan Gözükara

it is installing v48 but i just updated zip file to prevent more confusion :D

Furkan Gözükara

we have kohya with 5000 series already : https://www.patreon.com/posts/112099700 use installer at here : https://www.patreon.com/posts/112099700

Jonson Jonson

Thanks. Any way to train a LORA using 5000 series GPU? I have found Kohya and Musubi, but neither have 5000 series support yet.

Steve

Hi. Appreciate all the great FramePack work! Is there a link to v48? The most recent post links to v46 only.

Furkan Gözükara

if it crushes that means out of RAM. please set virtual RAM to 100 GB : https://www.windowscentral.com/how-change-virtual-memory-size-windows-10

Taiga

Fresh install of v46. Windows_Start_APP.bat. No interface comes up, just this: Hugging Face cache folders set to: D:\FramePack_v46\FramePack\models W0511 23:28:51.781000 51900 venv\Lib\site-packages\torch\distributed\elastic\multiprocessing\redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. Currently enabled native sdp backends: ['flash', 'math', 'mem_efficient', 'cudnn'] Xformers is installed! Flash Attn is installed! Sage Attn is installed! Namespace(share=False) Free VRAM 20.9609375 GB High-VRAM Mode: False Downloading shards: 100%|███████████████████████████████████████████████████| 4/4 [00:00

Furkan Gözükara

this is older zip file. please use latest and delete older venv

koon grizzly

I forgot to metion but when i did update bat file from v46 i got this error (but everything works fine i think) : Looking in indexes: https://download.pytorch.org/whl/nightly/cu128 ERROR: Could not find a version that satisfies the requirement torch==2.7.0.dev20250311 (from versions: 2.8.0.dev20250313+cu128, 2.8.0.dev20250314+cu128, 2.8.0.dev20250315+cu128, 2.8.0.dev20250316+cu128, 2.8.0.dev20250317+cu128, 2.8.0.dev20250318+cu128, 2.8.0.dev20250319+cu128, 2.8.0.dev20250320+cu128, 2.8.0.dev20250321+cu128, 2.8.0.dev20250322+cu128, 2.8.0.dev20250323+cu128, 2.8.0.dev20250324+cu128, 2.8.0.dev20250325+cu128, 2.8.0.dev20250326+cu128, 2.8.0.dev20250327+cu128, 2.8.0.dev20250401+cu128, 2.8.0.dev20250402+cu128, 2.8.0.dev20250403+cu128, 2.8.0.dev20250404+cu128, 2.8.0.dev20250405+cu128, 2.8.0.dev20250406+cu128, 2.8.0.dev20250407+cu128, 2.8.0.dev20250408+cu128, 2.8.0.dev20250409+cu128, 2.8.0.dev20250410+cu128, 2.8.0.dev20250411+cu128, 2.8.0.dev20250412+cu128, 2.8.0.dev20250413+cu128, 2.8.0.dev20250414+cu128, 2.8.0.dev20250415+cu128, 2.8.0.dev20250416+cu128, 2.8.0.dev20250417+cu128, 2.8.0.dev20250418+cu128, 2.8.0.dev20250419+cu128, 2.8.0.dev20250420+cu128, 2.8.0.dev20250421+cu128, 2.8.0.dev20250422+cu128, 2.8.0.dev20250423+cu128, 2.8.0.dev20250424+cu128, 2.8.0.dev20250425+cu128, 2.8.0.dev20250426+cu128, 2.8.0.dev20250427+cu128, 2.8.0.dev20250428+cu128, 2.8.0.dev20250429+cu128, 2.8.0.dev20250430+cu128, 2.8.0.dev20250501+cu128, 2.8.0.dev20250502+cu128, 2.8.0.dev20250503+cu128, 2.8.0.dev20250504+cu128, 2.8.0.dev20250505+cu128, 2.8.0.dev20250506+cu128, 2.8.0.dev20250507+cu128, 2.8.0.dev20250508+cu128, 2.8.0.dev20250509+cu128, 2.8.0.dev20250510+cu128) ERROR: No matching distribution found for torch==2.7.0.dev20250311

Furkan Gözükara

yes this is the model limit i think

Furkan Gözükara

ah nice point. so it was older preset error

Furkan Gözükara

sure will do hopefully

stphnvdb321

This isn't the right place to ask, but can you make an installer for LTXV 13B 0.97?

koon grizzly

i ran update.bat file and now v48 :-)

koon grizzly

when i try 16:9 format (640*360, 568*320 or 854*480) it does not want to start, it works when i change to 640*480. Maybe we need to remove the resolution output selector to be able to change the width and height because i had no problem selecting 640*360 or 568*320 in framepack studio EDIT : meanwhile restarted everything and it started with 640*360 Edit2 if other people get this problem, you need to save your old saved settings to a new save file so it has height and width included, it will work after that

stphnvdb321

Thanks for V48. I've tested text to video (without an image). Like in FP Studio the picture quality is changing and getting worse with each new generated segment. :(

umut yilmaz

8 may update is v.47 but latest installer zip is still v.46 😉

Furkan Gözükara

high resolution looks much better. true different res behaving differently sadly

koon grizzly

First full videoclip with F1, all footage you see was created inside framepack, tansitions with old version, i noticed way better dance moves and camera movement in the new version https://www.youtube.com/watch?v=Cvilmmb5DL0

Max Gonzales

Hi! It seems that framepack changes video (camera movement and coherence) on same seed when rendering at a higher resolution Does anyone know why this is happening? See examples below https://www.dropbox.com/scl/fi/2n6bkw1s65eh4wfeez51o/2025_05_08_11_37_26_820_37frames.mp4?rlkey=wp71lizqzdky13r6qc87vo06x&dl=0 & https://www.dropbox.com/scl/fi/iekdrggi0ozgf1e6d24qn/2025_05_08_11_41_08_726_37frames.mp4?rlkey=xsikag74pl9ekhp18ttzor78u&dl=0 Both are using the same seed - 1969421642

Furkan Gözükara

i am not sure i didnt test intensively yet

Furkan Gözükara

thanks. massed compute is best

Zachary Garner

This takes forever to make a video on runpod Lol. I hope more updates to this makes it faster. Good work tho, good updates in there

koon grizzly

I just saw something on yt, it has Queuing for creating videos . (edit Framepack studio, it's on official framepack website) So you take photo one, add prompt and start. Then you can take photo 2 add prompt and add it to the list. Add as much as you want but all with their own prompt. So you can create videos with different prompts that will auto start creating. I used batch before in this version, but it followed one prompt for every photo Can i do something like this with batch convert in Gradio?

cool1

Thanks for the update. on the FramePack F1 option does the end image not work at all? I asked it to create an 8 second video and put the same image for the start and end frame (so I could create a continuous .mp4 & gif). I didn't notice the part where it said "optional (original model primarily)." . So what does it mean by "primarily". Does it mean it sometimes works on the F1 but not always or that it's not really meant for that? When it generated the video I asked for it to create an 8 second one of it created a 9 sec 634 ms video where the the first frame was quite a lot different tot the last frame - so it can't loop. So if we want repeatable videos (like .gifs) I assume it's best to use the main FramePack not F1 (even if that means it's slower). Though I haven't done a time comparison.

koon grizzly

Thanks for leaving the old version inside and available 'with a click of a button' Now we can still create transitions between two images. The new model is more responsive, haven't tested very long videos and timestamps yet but so far looks great and works same speed like old version for me

Furkan Gözükara

i am not sure yet didnt have chance to test. so try both

Furkan Gözükara

very likely using shared vram. increase GPU Inference Preserved Memory (GB) by 4 gb and try again

puk

Hello Furkan, thank you for the new update. I have now been working with it for three hours and have realised that the generation with the F1 model on my 5090 takes much longer than before. I need almost 50 minutes for a 20 second video with 640 resolution. With the old model it takes just under 20 minutes. The results are very good with F1, but it's definitely too slow compared to the old model. The first 4 to 5 seconds at 0.20 TeaCache Threshold and 25 steps seem to render very quickly, but from second 8 the VEA encoding gets slower and slower

cool1

Thanks for the update. So the F1 option should be faster but may or may not drift or lose quality compared to the other one it seems like. I assume this version could use less intermediate files or less total file size for them. Does it still stop working if there's no internet connection and if so are we still waiting for another developer to fix that or could it be some piece of code we could edit that could fix that?

Furkan Gözükara

100% . just implemented F1 and working

CV

Is upscaling still on the agenda?

Furkan Gözükara

thanks. i am aware give me some time :D

koon grizzly

My latest test : full videoclip of more then 3 minutes, i love this model and all the options we got from SEcourses, if you have time to try things it can do wonderful things https://www.youtube.com/watch?v=rnOpp9WQYp4

koon grizzly

Could the latent window size be implemented in the batch processing option ? last night i tested batch processing, woke up to a folder with files with videos with bad/slow/no movement. The latent window size really is important to have. EDIT, nevermind, it was because i had no (timestamped) prompts, i now notice it does use the settings from latent window size when creating the video and the first video i create with a prompt works normal Edit 2 wow they released a n update for Framepack ? woohoo Edit 3 : i quickly tested it and (without prompt) i see the same type of video, the blurry people in the background go to fast and people in the shot keep tapping the thing that was most close to their hands (a problem i see a lot) However, next 5 second test i gave it a prompt that people had to dance and yes i now have 5 seconds of dancing people pretty normally (also the blurry people in the background dance at the same speed)

Sérgio Merêces

it was released the 2025 May 03: The FramePack-F1

Furkan Gözükara

thanks. i saw and will look into that hopefully soon

George Gostyshev

Check this out! https://www.reddit.com/r/StableDiffusion/comments/1kdthm2/a_new_frampack_model_is_coming/

Furkan Gözükara

metadata loading can be made from saved txt files. i will check that. intermediate videos metadata is same there isnt any difference that is why we dont have

Furkan Gözükara

wow nice experiments

koon grizzly

I am making progress with creating/searching for prompts that work in longer videos. I think giving a lot of info doesn't work, it has to be really short and simple (at least for me) to have some succes. Below are some prompts it followed in my latest 2 minute test They jump up and down. They drink a glass of champagne. (champagne showed up) They are dancing They throw confetti. (confetti showed up) They wave to the crowd. They blow party horns. (party horn showed up) Pillow fight with cushions. (pillows showed up) They toss beach balls. (beachball showed up) They high-five They use glow sticks (something started glowing) They shake maracas. (Maracas showed up) They hug They blow bubble wands (bubbles showed up) Seed: 1176021196 Video Length (seconds): 120 FPS: 25 Latent Window Size: 25 Steps: 25 Generation Time: 3 hours 48 min 22 seconds

Lawren

This really needs a way to drag and drop or upload metadata to be reused instantly. Also, There's no metadata for intermediate videos it seems. Only final outputs. It would be ideal to be able to drop your intermediate video file into a tab and have it read the metadata? Frame Pack is absolutely phenomenal for what you can do in comparison of simplicity.

Furkan Gözükara

yes you need hunyuan loras. squish_18_default is for Wan 2.1

Bjoern

Do I need any "special type" of LoRas or can I use the WAN LoRas? I tried one (with and without converting), but I always get this error: Loading new LoRA structure: squish_18_default from G:\FramePack_v23\FramePack\loras\squish_18_default.safetensors ERROR loading LoRA structure for squish_18_default: list index out of range Traceback (most recent call last): File "G:\FramePack_v23\FramePack\app.py", line 1563, in manage_lora_structure load_lora(transformer, lora_dir, lora_filename) # Assume modification in-place on CPU model File "G:\FramePack_v23\FramePack\diffusers_helper\load_lora.py", line 36, in load_lora transformer.load_lora_adapter(state_dict, network_alphas=None, adapter_name=weight_name.split(".")[0]) File "G:\FramePack_v23\FramePack\venv\lib\site-packages\diffusers\loaders\peft.py", line 264, in load_lora_adapter lora_config_kwargs = get_peft_kwargs(rank, network_alpha_dict=network_alphas, peft_state_dict=state_dict) File "G:\FramePack_v23\FramePack\venv\lib\site-packages\diffusers\utils\peft_utils.py", line 153, in get_peft_kwargs r = lora_alpha = list(rank_dict.values())[0] IndexError: list index out of range LoRA Management Error: Failed to load LoRA structure 'squish_18_default'.

koon grizzly

2 minute video with teacache at 0.1 & 20 steps : 6.5 hours, i have 1 minute videos that took 11 hours. (jpg used had quality down to 25% of original to make it only 75kb) Seed: 214271538 TeaCache: Enabled (Threshold: 0.1) Video Length (seconds): 120 FPS: 25 Latent Window Size: 25 Steps: 20 CFG Scale: 1 Distilled CFG Scale: 10 Guidance Rescale: 0 Resolution: 480 Generation Time: 6 hours 28 min 0 seconds Total Seconds: 23280 seconds Start Frame Provided: True

koon grizzly

I have some tips for faster generation. I went from 3, 4, 5 hours to a little more then an hour for creating 30 seconds of footage 1. check my settings below and test them to find out if it works for you too Most important is latent window size at 25 and Fps also at 25, this will create 4 second (3.87) parts instead of 1 second parts which seems to go much faster because it doesn't have to stop after every second created. I used to have around 3-6 minutes per second, now i get 4 in about 6 minutes. (4060 gpu) 2 Use Smal size jpg files !! i noticed using smaller size photo uses less time between the generation of the video parts so for testing i created 2x a 30 second video with 2x exactly the same photo, settings and prompts but.. one was 100kb and the other had reduced quality to make it 50kb. This reduced the generation time even more to 48 minutes. Edit : Not sure if it was the photo or the seed but the smaller jpg seems to have faster movement then the 100kb version (i watched youtube & did nothing else during both generations) test 100kb _________ Negative Prompt: Seed: 1158344243 TeaCache: Enabled (Threshold: 0.15) Video Length (seconds): 30 FPS: 25 Latent Window Size: 25 Steps: 15* CFG Scale: 1 Distilled CFG Scale: 10 Guidance Rescale: 0 Resolution: 480 Generation Time: 1 hour 7 min 31 seconds Total Seconds: 4051 seconds Start Frame Provided: True End Frame Provided: False Timestamped Prompts Used: True test 50kb ________ Negative Prompt: Seed: 688717800 TeaCache: Enabled (Threshold: 0.15) Video Length (seconds): 30 FPS: 25 Latent Window Size: 25 Steps: 15* CFG Scale: 1 Distilled CFG Scale: 10 Guidance Rescale: 0 Resolution: 480 Generation Time: 47 min 48 seconds Total Seconds: 2868 seconds Start Frame Provided: True End Frame Provided: False Timestamped Prompts Used: True * I have steps at 15 but using 20 or even 25 for better details should not double the time needed.

Furkan Gözükara

i think it works even better with that :D

Hipno

Omg this is actually insane!! Does this also work well with simple 2d cartoon styles aswell?

Furkan Gözükara

yes not fully compatible sadly :( probably you need to train framepack lora which kohya added experimentally support atm

Furkan Gözükara

what is it doing can you explain me in details please

Furkan Gözükara

i wonder if sage attention not supporting H100. can you uninstall and try? or you can pick A100 or RTX A6000 ADA. i am gonna work on this now

Walker4k

H100 at MC gives this error on FRamepack and Wan - File "/home/Ubuntu/Downloads/FramePack_v44_v2/FramePack/venv/lib/python3.10/site-packages/sageattention/core.py", line 829, in sageattn_qk_int8_pv_fp8_cuda_sm90 assert SM90_ENABLED, "SM90 kernel is not available. Make sure you GPUs with compute capability 9.0." AssertionError: SM90 kernel is not available. Make sure you GPUs with compute capability 9.0.

Nicolas Ruarte

Hi trully great work with this installation is the best FramePack distribution out there, thank you. I have a suggestion for the next version I've been testing this distribution recently launched by red_polo on github Frame Pack Loop, it works great for loops up to 30 seconds and uses the same instalation as the OG FramePack, could you see to add it to your instalation? https://github.com/red-polo/FramePackLoop

TriVectorX

Quick question, I trained my face in Hunyuan video as Lora, it looks almost identical when using ComfyUI + Hunyuan workflow; However, when I use the same lora in this frampack, it doesn't fully take my face lora, and the character looks like a mixture of my face with someone else. I tried to adjust the weight from 1.0 to 2.0, not really work as expected. What could be the root cause here?

Furkan Gözükara

thanks a lot for the observations. i think if framepack was based on wan 2.1 that would be really different level

Leonid Wolf

I have tested more than 15 videos of 5-10 seconds on different styles. And I realized one thing. That the Frame Pack works better on cartoon styles. In realism, artifacts constantly appear that cannot be removed only by postproduction to remove watermarks. When a video is generated at 10 seconds, the character starts slowing down. I think it's okay. Since such models that are publicly available do not produce the result that you expect. I tried to do the generation in the comfortable ui with the LTX and hunyuan models, the results are the same.

Furkan Gözükara

wow very nice finding

Steve

Cool concept, but I also agree with some other comments that long videos dont really work. Dont know if its the app or some settings. The motion stops and slows to 0 for videos longer than 15 seconds. I tried no lora, no teacache. Its very evident for long videos over 30 seconds. The video starts as a very noisy image, then no motion until about the last 20 seconds, and is still slow motion. The motion then speeds up only at the final 10 seconds. I see on the original github that long videos are possible, must be some setti gs that are broken. Update: After some experimentation, increasing the latent window size seems to help make longer videos more consistent, of course requires more memory and time but works

Furkan Gözükara

i dont see failed here. if your app terminating that means you are out of RAM. if you cant solve set virtual RAM to 50 GB and make a fresh install in a new folder

The Explorographer

koon grizzly

Yes same for me, i think my longest is about 70 seconds in 11 hours or longer (on 4060 with 8 gig) For testing purpose i will put teacache to 0.5 and sampling to 15 instead of 25 and resolution at 480. It will go double as fast (between 2.5 & 3.5 min per second) but there will be lots of blurry parts because of the teacache at 0.5 so its only useful to quickly test a couple of seconds

3dAA

Can someone help me? My problem is that to make a 30-second video, it takes me 5 hours or more!!! I have an RTX 3060 (12GB), and I'm using FramePack_v43, with a resolution of 640. What am I missing??

Furkan Gözükara

the model may not be that much capable after all

Dan

The man is insanely productive!

macmotu

And another awesome version! Your latest update with working LoRAs really made my day! Btw.: Do you ever sleep? ;-) P.S.: Will there be an option to select multiple LoRAs in the future?

koon grizzly

Anyone having great success in trying to have the photo do what is mentioned in the prompt or timestamps when creating longer video ? i have various results, in my last attempt i asked grok to create these timestamp prompts (and have it pay attention for huyan model in framepack) I used an ai generated photo of a bear that is a dj and women are dancing in the background. Grok came up with this for a 30 second video for the photo. [1] Bear spins record, nodding to beat. Crowd sways under blue lights. [3] Bear tweaks mixer, lights turn purple, crowd gets hyped. [5] Woman starts dancing, subtle moves. [7] Spotlight hits woman, she dances fluidly. [10] Spotlight brightens, woman spins gracefully. [12] Bear scratches record, lights flash, crowd cheers. [15] Woman twirls under spotlight, captivating the crowd. [18] Close-up on woman, detailed dance under bright light. [20] Spotlight follows woman across dance floor, synced with beat. [22] Bear raises paw, lights pulse rapidly, crowd excited. [25] Woman joins crowd, raises hands in joy. [26] Beat drops, lights explode in colors, crowd jumps, woman celebrates. [29] Bear removes headphones, grins. Lights dim, music softens. In the end i got the bear to have a couple of different movements (which is better then older attempts where he did mostly the same or nothing at all) But the colors of the spotlights, the change of camera angle to the dancing woman (or basically any change at all in the background) was ignored and takes until the last 4-5 seconds Am i asking to much of this model or is there a trick to write better prompts ? Settings used : 640p resolution / latent windows size 8 / teacache : 0.15 / steps : 20 (result looked same to me) / cfg scale : 2 / cfg scale distilled : 10 / cfg rescale : 0 / gpu memory reserved : 6 (edit that was on v41, when my next attempt is ready i will install and test v44)

Furkan Gözükara

100% working on it today with best available Ai model

KonekoFuta

Are there any plans to add an upscale option? I wonder if that would let us generate at a lower resolution for faster gens.

Furkan Gözükara

Doesn't make sense weird. Did you restart computer and tried? Did you check your vram usage? Let me do few test maybe deleting xformers can make difference than I will update

puk

I installed the new version, but for some reason, the generation now takes twice as long. It used to take 50 seconds per frame, now it's 100 seconds. I'm using an RTX 4090.

Furkan Gözükara

yes delete venv and reinstall.

What to watch high

Thanks for all the great updates! This version though I get this error: WARNING:xformers:WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: PyTorch 2.7.0.dev20250311+cu128 with CUDA 1208 (you have 2.7.0+cu128) Python 3.10.11 (you have 3.10.6) Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers) Memory-efficient attention, SwiGLU, sparse and more won't be available. Set XFORMERS_MORE_DETAILS=1 for more details

Furkan Gözükara

out of Ram set virtual ram to min 50 gb

Furkan Gözükara

related your internet. they are downloaded from hugging face. you can edit bat file set HF_HUB_ENABLE_HF_TRANSFER=0

Brandon

Getting any error trying to install lastest Framepack when downloading the shards safetensors_rust.SafetensorError: Error while deserializing header: InvalidHeaderDeserialization

koon grizzly

i saw him reply and point to his own comment for this on an earlier version, at the moment it's not possible to use this offline :( doesn't even start without internet connection

cool1

Is there a reason why FramePack stops working overnight if the user's router is turned off and then later (when router starts turning on ?) it gives "error" overlays? what's it trying to do online that's needed? I'd edited the windows_start.bat (and kept the same one as your updates don't have the edit) to have "set GRADIO_ANALYTICS_ENABLED=False" before "python app.py" is called so shouldn't that stop gradio logging? If so why is it still failing to run overnight and giving the "error" overlays if the router is turned off overnight? What other logging is or connection is trying to happen? It only starts creating the video again once it has a connection. It shouldn't need one. Could it please be changed so it works without an internet connection (when it already has all the ai models downloaded)?

Weronika

Edit this file and set set HF_HUB_ENABLE_HF_TRANSFER=0 if you get model download errors of HF_TRANSFER Hugging Face cache folders set to: C:\FramePack\models W0426 07:34:43.506348 33940 venv\Lib\site-packages\torch\distributed\elastic\multiprocessing\redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. Currently enabled native sdp backends: ['flash', 'math', 'mem_efficient', 'cudnn'] Xformers is not installed! Flash Attn is installed! Sage Attn is installed! Namespace(share=False) Free VRAM 5.03515625 GB High-VRAM Mode: False Downloading shards: 100%|██████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 1951.75it/s] Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:03<00:00, 1.25it/s] Loading checkpoint shards: 33%|███████████████████ | 1/3 [00:00<00:00, 8.97it/s]Press any key to continue . . .

Christian Van Meurs

Yeah so, after the first second of video rendered, my GPU memory dropped under the amount of physical memory and my GPU started heating up. The next 3 seconds of video generated in about 3 minutes, whereas the first second took about 45 minutes. I have no idea what's going on, but I figured I'd tell you in case it made sense to you.

Christian Van Meurs

I'm noticing that when I'm generating a video, Task Manager says my GPU is hovering around 99% usage, but the temps are way lower (nearly idle temps) than they are when I am generating a lot of images in other utilities. Leads me to think that it's not really utilizing all of its power. EDIT: Hardware monitor says GPU is only using around 90W. I think your video mentioned that the GPU won't use the full amount of power if it's maxxed out in VRAM, is that true? Is there anything I can do?

cool1

I extracted frame pack v40.zip (as far as I know) in my frame pack folder, overwriting most of the other files (except start_app). I haven't run windows update (not sure i need to) but running it it still shows V21 at the top and I don't see a sliding window setting in the UI. Is it running the latest and is it understanding the timecode stuff? Or should I haven't run windows update.bat? edit: I've just run windows_update.bat and then restarted the app and now it's showing V41 at the top of the UI so I think that was my mistake not running windows update (though I'm not sure why unzipping v40.zip didn't increase the version number to 40).

Furkan Gözükara

Great

Furkan Gözükara

100%. Runpod and massed compute are Ubuntu

Furkan Gözükara

I may add I need to checkout

Furkan Gözükara

Thanks will do hopefully but so many tasks :)

Furkan Gözükara

Hi it is related to your pc. You see Gradio gave you some errors.

Furkan Gözükara

Lora is bugged atm. I plan to look today hopefully to improve it

Christian Van Meurs

I loaded a LORA and my generation times go from 4 minutes to 4 hours. Why is this?

Leonid Wolf

Can you help me with the setup --share. I was unable to create a link for publication. Please check your internet connection or our status page.: https://status.gradio.app. Applying a preset and initializing information at startup... The last used preset "None" was not found or invalid, loaded "By default".

Thae Maestro

3090 windows 10, 3800x cpu, 32gb ram. Thanks in advance! :)

Thae Maestro

ERROR DURING GENERATION: CUDA error: an illegal memory access was encountered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1 Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

Jay

Lora training tutorial? This or Wan would be both incredible :)

The Explorographer

Win 11 24h2, 32gigs of ram, 3090 with 24g. Intel i7-9700k

The Explorographer

I can run this once, then before running it again I have to reboot my machine or it errors out with this error: Exception Code: 0xC0000005 0x00007FFAE06E60B4, D:\AIServer\FramePack\FramePack\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFAE0660000) + 0x860B4 byte(s), ?typeMetaDatas@TypeMeta@caffe2@@CAPEAUTypeMetaData@detail@2@XZ() + 0x6E14 byte(s) 0x00007FFAE06E54EC, D:\AIServer\FramePack\FramePack\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFAE0660000) + 0x854EC byte(s), ?typeMetaDatas@TypeMeta@caffe2@@CAPEAUTypeMetaData@detail@2@XZ() + 0x624C byte(s) 0x00007FFAE06E7875, D:\AIServer\FramePack\FramePack\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFAE0660000) + 0x87875 byte(s), ?typeMetaDatas@TypeMeta@caffe2@@CAPEAUTypeMetaData@detail@2@XZ() + 0x85D5 byte(s) 0x00007FFAE06E7513, D:\AIServer\FramePack\FramePack\venv\lib\site-packages\torch\lib\c10.dll(0x00007FFAE0660000) + 0x87513 byte(s), ?typeMetaDatas@TypeMeta@caffe2@@CAPEAUTypeMetaData@detail@2@XZ() + 0x8273 byte(s) 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byte(s), BaseThreadInitThunk() + 0x17 byte(s) 0x00007FFB5FD514FC, C:\WINDOWS\SYSTEM32\ntdll.dll(0x00007FFB5FCA0000) + 0xB14FC byte(s), RtlUserThreadStart() + 0x2C byte(s) Any ideas?

Hockey

Would it be possible to add llava for describing the input image. Then we can use the llava prompt to change or add to it.

V V

Yo Doctor, is this compatible with Linux? Thanks,

koon grizzly

Just created 2x a 10 second video where it mostly follows the timestamp prompts, woohoo, let's hope the videos where nothing happens are a thing of the past now

Furkan Gözükara

nope completely safe to ignore

stphnvdb321

I just ran the installer again to upgrade to V40 and got the following error message: "ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. moviepy 2.1.2 requires pillow<11.0,>=9.2.0, but you have pillow 11.1.0 which is incompatible." Do I have to worry?

Furkan Gözükara

can you email me your exact configuration? batch should work perfectly fine. monstermmorpg@gmail.com - if broken will fix asap hopefully

KonekoFuta

Hey, what I've seen so far seems great. It doesn't seem like batch generation is working. It stops after the first set of generations that used the first image in the batch input folder. Is that expected?

Furkan Gözükara

yes loras currently not working accurately. i am looking for a real working lora to improve you can see my post here : https://github.com/lllyasviel/FramePack/pull/157#issuecomment-2825511195

Taiga

when I try to use a lora with it, I get errors and it quits before getting started. I have a 24BG 4090: File "D:\FramePack\FramePack\app.py", line 965, in worker transformer.to(gpu) File "D:\FramePack\FramePack\venv\lib\site-packages\diffusers\models\modeling_utils.py", line 1353, in to return super().to(*args, **kwargs) File "D:\FramePack\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 1355, in to return self._apply(convert) File "D:\FramePack\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 915, in _apply module._apply(fn) File "D:\FramePack\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 915, in _apply module._apply(fn) File "D:\FramePack\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 915, in _apply module._apply(fn) File "D:\FramePack\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 942, in _apply param_applied = fn(param) File "D:\FramePack\FramePack\venv\lib\site-packages\torch\nn\modules\module.py", line 1341, in convert return t.to( torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 MiB. GPU 0 has a total capacity of 22.49 GiB of which 0 bytes is free. Of the allocated memory 21.48 GiB is allocated by PyTorch, and 24.87 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) latent_padding_size = 9, is_last_section = False, is_first_section = True Unloaded SiglipVisionModel as complete. Moving DynamicSwap_HunyuanVideoTransformer3DModelPacked to cuda:0 with preserved memory: 8 GB Teacache: 0.15

Furkan Gözükara

sadly not. there is a library that breaks offline setup. here i made an issue about this https://github.com/huggingface/huggingface_hub/issues/3020

Furkan Gözükara

can you elaborate more? the only change regarding virtual ram is that vae decoding was hard coded to 8 gb. now it will use your Preserved Memory parameter. how much did you set?

Furkan Gözükara

No this is Gradio related error. you can ignore. also i would install my python into c drive as in tutorial video

Furkan Gözükara

hi it is out of RAM. please set your virtual RAM to 50 GB or above

Weronika

I have a problem: after the first launch and successful generation, the app won't start again. What am I doing wrong? Edit this file and set set HF_HUB_ENABLE_HF_TRANSFER=0 if you get model download errors of HF_TRANSFER Hugging Face cache folders set to: C:\FramePack\models W0424 07:03:32.385865 12972 venv\Lib\site-packages\torch\distributed\elastic\multiprocessing\redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. Currently enabled native sdp backends: ['flash', 'math', 'mem_efficient', 'cudnn'] Xformers is not installed! Flash Attn is installed! Sage Attn is installed! Namespace(share=False) Free VRAM 4.9453544318675995 GB High-VRAM Mode: False Downloading shards: 100%|██████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 2428.66it/s] Press any key to continue . . .

masato ogawa

The video seems to be generated without problems, but I get this message. Is there a problem? Total worker time: 669.96 seconds (11.17 minutes) ERROR:asyncio:Exception in callback _ProactorBasePipeTransport._call_connection_lost(None) handle: Traceback (most recent call last): File "C:\Users\****\AppData\Local\Programs\Python\Python310\lib\asyncio\events.py", line 80, in _run self._context.run(self._callback, *self._args) File "C:\Users\****\AppData\Local\Programs\Python\Python310\lib\asyncio\proactor_events.py", line 165, in _call_connection_lost self._sock.shutdown(socket.SHUT_RDWR) ConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host ERROR:asyncio:Exception in callback _ProactorBasePipeTransport._call_connection_lost(None) handle: Traceback (most recent call last): File "C:\Users\****\AppData\Local\Programs\Python\Python310\lib\asyncio\events.py", line 80, in _run self._context.run(self._callback, *self._args) File "C:\Users\****\AppData\Local\Programs\Python\Python310\lib\asyncio\proactor_events.py", line 165, in _call_connection_lost self._sock.shutdown(socket.SHUT_RDWR) ConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host.

Jesen

Is there a way to downgrade to an earlier version without deleting and reinstalling the whole thing? The v40 version does not seem to utilize system virtual ram like v21 did

RenderDrgn

Hello just a quick question. Is there a way to run this without an internet connection?

Furkan Gözükara

not yet sadly. i am following developments. but for wan 2.1 hopefully i will bring begin and ending images soon

Thomas McGrath

Can this workflow be modified to support WAN 2.1 as well?

Furkan Gözükara

you are welcome and thanks for support

macmotu

I love it. It get´s better every day! Thank you very much.

Furkan Gözükara

this is a mystery for me as well :D see this comment : https://github.com/lllyasviel/FramePack/pull/157#issuecomment-2825511195 i will update our lora loading but i am yet to find a working lora to test

Dan

Hi, thank you for this great app. I am wondering about the LoRA option. What kind of LoRA can one use? Is there a collection of LoRA available somewhere? Thank you.

Furkan Gözükara

Looks like models corrupted somehow. Can you install zip file into a new folder and let me know? Use latest version

Ec Jep

versions 25 and prior worked but I get this after a fresh install of v31: Edit this file and set set HF_HUB_ENABLE_HF_TRANSFER=0 if you get model download errors of HF_TRANSFER Hugging Face cache folders set to: D:\SD\framepack_v31\FramePack\models W0423 13:34:47.665000 19836 venv\Lib\site-packages\torch\distributed\elastic\multiprocessing\redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. Currently enabled native sdp backends: ['flash', 'math', 'mem_efficient', 'cudnn'] Xformers is not installed! Flash Attn is installed! Sage Attn is installed! Namespace(share=False) Free VRAM 22.455078125 GB High-VRAM Mode: False Downloading shards: 100%|██████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 1275.64it/s] Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 8.37it/s] Traceback (most recent call last): File "D:\SD\framepack_v31\FramePack\venv\lib\site-packages\diffusers\models\model_loading_utils.py", line 176, in load_state_dict return safetensors.torch.load_file(checkpoint_file, device=map_location) File "D:\SD\framepack_v31\FramePack\venv\lib\site-packages\safetensors\torch.py", line 313, in load_file with safe_open(filename, framework="pt", device=device) as f: safetensors_rust.SafetensorError: Error while deserializing header: InvalidHeaderDeserialization During handling of the above exception, another exception occurred: Traceback (most recent call last): File "D:\SD\framepack_v31\FramePack\venv\lib\site-packages\diffusers\models\model_loading_utils.py", line 195, in load_state_dict if f.read().startswith("version"): File "C:\Users\mtnme\AppData\Local\Programs\Python\Python310\lib\encodings\cp1252.py", line 23, in decode return codecs.charmap_decode(input,self.errors,decoding_table)[0] UnicodeDecodeError: 'charmap' codec can't decode byte 0x8f in position 985661474: character maps to During handling of the above exception, another exception occurred: Traceback (most recent call last): File "D:\SD\framepack_v31\FramePack\app.py", line 59, in vae = AutoencoderKLHunyuanVideo.from_pretrained("hunyuanvideo-community/HunyuanVideo", subfolder='vae', torch_dtype=torch.float16).cpu() File "D:\SD\framepack_v31\FramePack\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "D:\SD\framepack_v31\FramePack\venv\lib\site-packages\diffusers\models\modeling_utils.py", line 1190, in from_pretrained state_dict = load_state_dict(resolved_model_file[0], disable_mmap=disable_mmap, dduf_entries=dduf_entries) File "D:\SD\framepack_v31\FramePack\venv\lib\site-packages\diffusers\models\model_loading_utils.py", line 207, in load_state_dict raise OSError( OSError: Unable to load weights from checkpoint file for 'D:\SD\framepack_v31\FramePack\hf_download\hub\models--hunyuanvideo-community--HunyuanVideo\snapshots\e8c2aaa66fe3742a32c11a6766aecbf07c56e773\vae\diffusion_pytorch_model.safetensors' at 'D:\SD\framepack_v31\FramePack\hf_download\hub\models--hunyuanvideo-community--HunyuanVideo\snapshots\e8c2aaa66fe3742a32c11a6766aecbf07c56e773\vae\diffusion_pytorch_model.safetensors'. Press any key to continue . . .

Furkan Gözükara

Yes 10 fps literally being slow motion since original model is 30 fps :)

Furkan Gözükara

we have it :D https://www.patreon.com/posts/126995127

Mark Sutherland

Fantastic work as always, glad you got your github sorted. Will you be releasing a one click installer for instantcharacter, looks like it has alot of potential especially if you can add more loras, cheers

Furkan Gözükara

awesome. i am improving second thing. with v33 you will see Latent Window Size . it is not perfected yet but i will add a button to distribute app to generate every 1 second splits. Latent Window Size impacts how many processing it takes by the way v33 published

koon grizzly

i was testing v31 with 15fps and 2x rife and 10 fps and 4x rife but i don't notice much difference between original and extra fps version.? I can add that the prompt with seconds works now

Furkan Gözükara

hello i am about to fix it sorry for delay. fixing the last errors. sorry for this. wait me to update next

Eitan Goldin

Hi, I'm getting an error that the app cannot save a file due to an error. It happened in a masscompute session and also on my local PC (RTX4080). The final mp4 is created, but not the processing metadata and the last frame of generations (both checkbox are selected) this is the last output Offloading DynamicSwap_HunyuanVideoTransformer3DModelPacked from cuda:0 to preserve memory: 8 GB Loaded AutoencoderKLHunyuanVideo to cuda:0 as complete. VAE decoding completed in 23.21 seconds (0.029 sec/frame) Unloaded AutoencoderKLHunyuanVideo as complete. Saved MP4 video to /home/Ubuntu/Downloads/FramePack_v30/FramePack/outputs/2025_04_23_11_12_28_097.mp4 Error saving MP4/WebM video: 'Checkbox' object is not callable Saving operations completed in 71.59 seconds Decoded. Current latent shape torch.Size([1, 16, 793, 126, 84]); pixel shape torch.Size([1, 3, 3169, 1008, 672]) Generation 1/1 completed in 13634.74 seconds Total generation time: 13634.74 seconds (227.25 minutes) Warning: No output file was generated due to an error

Furkan Gözükara

hello. you need to have python 3.10 in your system. please follow this requirements : https://youtu.be/DrhUHnYfwC0

Damien Jourdan

my suggestion is to get a video from A to B, then make another video from B to A without reloading the pictures. I use to paste them to do a loop but with having the control of the middle frame and eventually double the duration. If it can be done directly from your (amazing) tool, it would be perfect.

Weronika

i have problem WARNING. For this auto installer to work you need to have installed Python 3.10.x, Git, FFmpeg, cuDNN 8.9 and 9.4+, CUDA 12.4+ and C++ tools This tutorial shows all step by step : https://youtu.be/-NjNy7afOQ0 'git' is not recognized as an internal or external command, operable program or batch file. 'git' is not recognized as an internal or external command, operable program or batch file. 'git' is not recognized as an internal or external command, operable program or batch file. Python launcher is available. Generating Python 3.10 VENV Python 3.10 not found! Installed Pythons found by py Launcher for Windows -3.9-64 * Requested Python version (3.10) not installed, use -0 for available pythons System nie może odnaleźć określonej ścieżki. Requirement already satisfied: pip in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (25.0.1) Looking in indexes: https://download.pytorch.org/whl/nightly/cu128 Requirement already satisfied: torch==2.7.0.dev20250311 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (2.7.0.dev20250311+cu128) Requirement already satisfied: torchvision==0.22.0.dev20250312+cu128 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (0.22.0.dev20250312+cu128) Requirement already satisfied: torchaudio in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (2.6.0.dev20250312+cu128) Requirement already satisfied: filelock in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from torch==2.7.0.dev20250311) (3.16.1) Requirement already satisfied: typing-extensions>=4.10.0 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from torch==2.7.0.dev20250311) (4.13.0) Requirement already satisfied: sympy>=1.13.3 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from torch==2.7.0.dev20250311) (1.13.3) Requirement already satisfied: networkx in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from torch==2.7.0.dev20250311) (3.2.1) Requirement already satisfied: jinja2 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from torch==2.7.0.dev20250311) (3.1.4) Requirement already satisfied: fsspec in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from torch==2.7.0.dev20250311) (2024.10.0) Requirement already satisfied: numpy in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from torchvision==0.22.0.dev20250312+cu128) (1.26.4) Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from torchvision==0.22.0.dev20250312+cu128) (11.0.0) Requirement already satisfied: mpmath<1.4,>=1.1.0 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from sympy>=1.13.3->torch==2.7.0.dev20250311) (1.3.0) Requirement already satisfied: MarkupSafe>=2.0 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from jinja2->torch==2.7.0.dev20250311) (2.1.5) ERROR: flash_attn-2.7.4.post1-cp310-cp310-win_amd64.whl is not a supported wheel on this platform. ERROR: deepspeed-0.16.4-cp310-cp310-win_amd64.whl is not a supported wheel on this platform. ERROR: sageattention-2.1.1+cu128torch2.7.0-cp310-cp310-win_amd64.whl is not a supported wheel on this platform. Requirement already satisfied: triton-windows in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (3.3.0a0.post18) Requirement already satisfied: setuptools>=40.8.0 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from triton-windows) (58.1.0) Requirement already satisfied: torchao in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (0.10.0) ERROR: Could not open requirements file: [Errno 2] No such file or directory: 'requirements.txt' Requirement already satisfied: huggingface_hub in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (0.30.2) Requirement already satisfied: ipywidgets in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (8.1.6) Requirement already satisfied: hf_transfer in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (0.1.9) Requirement already satisfied: filelock in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from huggingface_hub) (3.16.1) Requirement already satisfied: fsspec>=2023.5.0 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from huggingface_hub) (2024.10.0) Requirement already satisfied: packaging>=20.9 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from huggingface_hub) (24.2) Requirement already satisfied: pyyaml>=5.1 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from huggingface_hub) (6.0.2) Requirement already satisfied: requests in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from huggingface_hub) (2.32.3) Requirement already satisfied: tqdm>=4.42.1 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from huggingface_hub) (4.67.1) Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from huggingface_hub) (4.13.0) Requirement already satisfied: comm>=0.1.3 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from ipywidgets) (0.2.2) Requirement already satisfied: ipython>=6.1.0 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from ipywidgets) (8.18.1) Requirement already satisfied: traitlets>=4.3.1 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from ipywidgets) (5.14.3) Requirement already satisfied: widgetsnbextension~=4.0.14 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from ipywidgets) (4.0.14) Requirement already satisfied: jupyterlab_widgets~=3.0.14 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from ipywidgets) (3.0.14) Requirement already satisfied: decorator in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from ipython>=6.1.0->ipywidgets) (5.2.1) Requirement already satisfied: jedi>=0.16 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from ipython>=6.1.0->ipywidgets) (0.19.2) Requirement already satisfied: matplotlib-inline in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from ipython>=6.1.0->ipywidgets) (0.1.7) Requirement already satisfied: prompt-toolkit<3.1.0,>=3.0.41 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from ipython>=6.1.0->ipywidgets) (3.0.51) Requirement already satisfied: pygments>=2.4.0 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from ipython>=6.1.0->ipywidgets) (2.19.1) Requirement already satisfied: stack-data in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from ipython>=6.1.0->ipywidgets) (0.6.3) Requirement already satisfied: exceptiongroup in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from ipython>=6.1.0->ipywidgets) (1.2.2) Requirement already satisfied: colorama in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from ipython>=6.1.0->ipywidgets) (0.4.6) Requirement already satisfied: charset-normalizer<4,>=2 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from requests->huggingface_hub) (3.4.1) Requirement already satisfied: idna<4,>=2.5 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from requests->huggingface_hub) (3.10) Requirement already satisfied: urllib3<3,>=1.21.1 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from requests->huggingface_hub) (2.3.0) Requirement already satisfied: certifi>=2017.4.17 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from requests->huggingface_hub) (2025.1.31) Requirement already satisfied: parso<0.9.0,>=0.8.4 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from jedi>=0.16->ipython>=6.1.0->ipywidgets) (0.8.4) Requirement already satisfied: wcwidth in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from prompt-toolkit<3.1.0,>=3.0.41->ipython>=6.1.0->ipywidgets) (0.2.13) Requirement already satisfied: executing>=1.2.0 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (2.2.0) Requirement already satisfied: asttokens>=2.1.0 in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (3.0.0) Requirement already satisfied: pure-eval in c:\users\user\appdata\local\programs\python\python39\lib\site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (0.2.3) 'git' is not recognized as an internal or external command, operable program or batch file. 'git' is not recognized as an internal or external command, operable program or batch file. ERROR: Could not open requirements file: [Errno 2] No such file or directory: 'requirements.txt' Fetching 10 files: 100%|█████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 1295.78it/s] FramePack installed check out all messages and save them before close to verify any errors or not later Press any key to continue . . . and after open windows app start nothing happens

Damien Jourdan

an easy suggestion maybe : a button to swap star and end frame

Furkan Gözükara

related to runpod pod. they tends to be broken a lot. please get a new pod

Furkan Gözükara

thank you

Furkan Gözükara

well if you generate 10 seconds and your last is after 5 seconds, the last 5 second should be that one. you are asking that right?

andersefp

Outstanding work, very well done!!! There seems to be a problem with using the "different prompt for every second" if you generate videos longer than 5 seconds... It seems to take last prompt within 5 seconds and do the whole generation with that prompt. Or am I missing a step?

Damien Jourdan

Amazing work, as usual. Thanks

RE Wilkerson

On Runpod I am getting 504 Gateway Time-Out for Gradio on the new version

Jim Coupe

I had this issue when I had 'Save Last Frame of Generation' checked. Unchecking that allowed the txt and RIFE to save correctly. I reported this in the discord I am sure it will be fixed soon.

Proyecto Hermenautas - navegar la astrología

Hi, I'm new to your Patreon and wanted to congratulate you on your excellent work. I hope the problem with your GitHub account is resolved soon. On the other hand, I just downloaded and tested the latest version. Overall, it works great, the extra control of indicating actions using timestamps is great! But I found some problems: 1 - Unlike previous versions, it no longer previews the video while it is being generated. 2.- It does not generate the .txt files with metadata. 3.- Despite activating the RIFE option, it does not generate any extra_FPS.mp4 file. Greetings and again congratulations on your excellent work!

Furkan Gözükara

changed remote repo to bitbucket atm. i hope it gets reinstated asap

Error_404_unknown

Huh? Is your github working again now?

Furkan Gözükara

yep it is on my research too but probably another app. currently adding RIFE 2x and 4x FPS

umut yilmaz

Getting better and better everyday <3 Maybe we can add and sync voice & sound one day.

Furkan Gözükara

this zip file updates to latest . currently latest version is v23 but zip file is v25 :D so you are up to date. sorry for confusion

Deniz Nasif

is there a simple way I could just update to v25 if I already have v23 installed without having to install v25 from scratch?

Furkan Gözükara

thanks. the steps count still there look interface carefully. i am working to add timed prompt so for each second you can set a different prompt

Ec Jep

Thx for this amazing work! In an earlier version you could adjust the steps during vid generation - now they are gone. I am trying to use start and end frame and the generation use one frame for the start and then starts backwards from the end frame. is there a way to have it focus on the start frame as well so its it more balanced on start and end frames?

Furkan Gözükara

thanks i plan to

Furkan Gözükara

Can you tell me which LoRA worked? I will try to fix that vram issue

Furkan Gözükara

we already have resolutions. or you mean something else? we have "1440","1320","1200","1080","960","840","720", "640", "480", "320", "240"

Furkan Gözükara

remote repo updated due to haters reporting my GitHub account. please use v25

AI-Gals

Can't install the newest Build available for download (V.23). fatal: Authentication failed for 'https://github.com/FurkanGozukara/FramePack/'

Sérgio Merêces

Can you add the modification you post in reddit group to choose the resolution size for the video output?

TaTaKae

I know LoRA is still experimental, but I’ve gotten some good results using a few LoRAs on RunPod—even though they currently use a crazy amount of VRAM. Would it be possible to add support for multiple LoRAs and the ability to adjust their individual scale? If not, I totally understand. Thanks for the amazing work!

Ken

This turning out to be wonderful. Will you be taking on SKyreels 2

Furkan Gözükara

we dont have it. currently you can read from txt files which we save. metada data image thing is adding too much work with too little benefit. i plan to add more impactful features tomorrow hopefully

Samuel

What about getting prompt metadata from the images ¿

Furkan Gözükara

awesome

Leonid Wolf

The latest version is very working. Now I can adjust the video resolution with my GPU 12gb memory for productive generation, Thank you for the build.

Furkan Gözükara

just implemented update to use :D

Furkan Gözükara

update to latest version we improved them

cool1

In version 21 of the app (and I haven't seen it say it's changed in more recent ones), sometimes the generation is going, but the "Start Generation" is enabled and the "End Generation" button is disabled, so you can't stop it. Maybe it happened because of starting and then stopping a few times. Though I just found out you can still click "stat generation" (when it's already started) and then the "End generation" button becomes enabled and you can click it and stop the generation that way.

Furkan Gözükara

that means your system using too much vram therefore you are using shared vram. perhaps i can increase default to 8 from 6

Stevie Tee

Thank you for the great updates ! Just one thing I've noticed though, has the original developer got the "preserved memory" settings the correct way around ? Because it seems that when I increase the setting to 12 (I have a 12GB 3080 TI card) that the speed increases not decreases, is "larger slower" ?

stphnvdb321

I have a request: Can we have a slider for TeaCache like in your Wan app to adjust the strength? To my opinion it is set too high by default and fingers really get distorted

Furkan Gözükara

we certainly can add nice idea

Chris

Hi Furkan, can you add feature from WAN "Practical-RIFE" frame multiplier?

Furkan Gözükara

definitely possible let me add it

David Mudd

It would be great if we could access the individual frames (either as png or jpg) that were produced before they were converted to a video. Is that possible?

Furkan Gözükara

we dont know and loras not working properly atm. who claims they implemented loras working i am testing all but not very good :D wait me to make new announcement and just try atm and see if works or not :D

DanO..

So, we need to create the "loras" folder, yes? And what is "Windows_Convert_Loras.bat"? Where do we get it? How do we know what type of loras are on CivitAI? And do the regular CivitAI loras work with i2v? Thanks for all the hard work!

Furkan Gözükara

i tested few hunyuan and they didnt do a difference but try and see :D

cool1

Thanks for the update, with the Lora support and Start and End frame settings. For the Lora, what do they need to be trained on? Trained on Hunyuan AI video or FramePack? Is there a way we can train them or would we need to use existing Lora's someone's trained on this video model?

Furkan Gözükara

it is related to model. config is really high quality if video_quality == 'high': options = { 'crf': '8', # Lower CRF = higher quality (18 is high quality) 'preset': 'slow', # Slower preset = better compression 'pix_fmt': 'yuv420p', # Most compatible pixel format 'movflags': '+faststart' # Allows video to start playing before it's fully downloaded }

cool1

Sometimes in places in a rendered 3d cgi cartoon style video I see some vertical banding on the 3d cartoon man's greyish chin (that wasn't in the original source image). This is when rendered at 640x640 or 704x704, both at the "high" (highest) quality setting. There's also some artefacts on the hand at one point. I don't know if it's to do with the video compression or whether it's because it's 8 bit or how it's processed internally (eg. whether that always has enough bit depth). Though maybe it could have a slider for video quality where the highest setting was higher than the current "high" value. Just in case it's that. Maybe it could be related to TeaCache it that's lower quality sometimes but I haven't tried disabling that yet as it would probably take much longer to render. If it is that then a slider/value for TeaCache where we could reduce the effect of it could be useful.

Furkan Gözükara

you are welcome and new features coming. like lora and ending frame :D

Zachary Garner

This looks great. Can't wait to get off work and use it. Thank you!

Furkan Gözükara

well i am not sure the T4 doesnt support modern attentions that is the biggest problem. we are using modern attentions here. i need to try

Bjoern

Thanks for the installer. Any way that you can make a Kaggle notebook for it?

Furkan Gözükara

this 720p is 720x720p this is how Hunyuan resolutions are mentioned :D

Furkan Gözükara

no negative prompts and it can handle 128 token (not 128 character)

michele carlone

Hi Furkan. Is it possible to insert the negative prompt? Then another question, How many tokens can the positive prompt handle?

stphnvdb321

Another great app! Thank you. I just updated to v16. If I chose 720p, the output video is only 928x544p (my input picture was 1280x720p). A bug?

Dinh Vu

This is the example prompt being used, it's amazing when it returns a video prompt: Ignore all prior context and outputs. You'll start fresh. You are an expert cinematic director and prompt engineer specializing in text-to-video generation. You receive an image and/or visual descriptions and expand them into vivid cinematic prompts. Your task is to imagine and describe a natural visual action or camera movement that could realistically unfold from the still moment, as if capturing the next 5 seconds of a scene. Focus exclusively on visual storytelling—do not include sound, music, inner thoughts, or dialogue. Infer a logical and expressive action or gesture based on the visual pose, gaze, posture, hand positioning, and facial expression of characters. For instance: - If a subject's hands are near their face, imagine them removing or revealing something - If two people are close and facing each other, imagine a gesture of connection like touching, smiling, or leaning in - If a character looks focused or searching, imagine a glance upward, a head turn, or them interacting with an object just out of frame - If it is a far/distant shot of a subject(s) from far away, then the description should describe how these two subjects are interacting (talking, playing, petting, etc that is reasonable for the image) Describe these inferred movements and camera behavior with precision and clarity, as a cinematographer would. Always write in a single cinematic paragraph. Be as descriptive as possible, focusing on details of the subject's appearance and intricate details on the scene or setting. Follow this structure: - Start with the first clear motion, still shot or slight camera cues (pan, tilt, rotate, zoom in/out, slow motion, hand cam, drone cam), be sure to randomly choose between these to vary between the shots. - Beginning emote: If the subject is a person or animal, include an expression of emotion, choose randomly one emotion, (e.g. such as but not limited to, happy, laughing, smiling, talking, staring off into distance, looking away, looking up, looking down, staring, serious look, chuckling, slight smile, sad, angry, curious, suspicious, confused, peaceful, at peace, closes eyes, friendly gesture, friendly look, calm) - Build with gestures, body language, expressions, and any physical interaction - Detail environment, framing, and ambiance (be sure to include slight breeze or gentle wind if environment has hair, grass, cloth) - Ending emote: If the subject is a person or animal, finish off with transition expression of emotion, choose randomly one emotion, (e.g. such as but not limited to, happy, laughing, smiling, talking, staring off into distance, looking away, looking up, looking down, staring, serious look, chuckling, slight smile, sad, angry, curious, suspicious, confused, peaceful, at peace, closes eyes, friendly gesture, friendly look, calm) - Finish with cinematic references like: “In the style of an award-winning indie drama” or “Shot on Arri Alexa, printed on Kodak 2383 film print” If any additional user instructions are added after this sentence, use them as reference for your prompt. Otherwise, focus only on the input image analysis:

Dinh Vu

Hello Furkan, recently the new LTXV models are insane. They are producing videos in 60 seconds. One extremely important feature of the workflow, is that it connects to an LLM such as chatGPT or Gemini, in order to make dynamic videos on the fly each time. Can you please implement something like this? Like an option to send a prompt to LLM (with image), it will analyze and return with a prompt for the image? This will require a field for an API key as well. This is so important for dynamic video generations. It is already working so well in the LTXV workflow, would be great to see it implemented for WAN or Framepack, which it creates varied videos of the same image.

Furkan Gözükara

with v13 fixed thanks for reporting

Furkan Gözükara

with v13 fixed thanks for reporting

DanO..

I think I may be talking about the same thing as an earlier patron. After updating the film strip preview goes away after the first second is generated and it seems to just show one second finished at a time instead of the cumulative video generation. It also looks like it has completed while it's still generating video.

michele carlone

Hi Furkan. I saw that it doesn't update the Finished Frames, it only shows the first generation and the End Generation button is disabled.

Furkan Gözükara

thanks. i dont know will check out

EnjoyerOfAll

This is neat. Anyway to make the outputs less "glossy?"

Furkan Gözükara

you are welcome. just implemented batch processing as well with custom prompt support :)

Jerad Benge

This is a lot of fun to play with! Thank you for the installer.

Furkan Gözükara

awesome. i also have rtx 5090 to do actual testing and development. i have rtx 3090 as well to test on older gpus :D

Furkan Gözükara

for lora making it is in my research not ready yet :(

Furkan Gözükara

ye the duration not exactly precise i noticed that :D i hope loras will arrive soon and i will add more features like batch folder processing

Furkan Gözükara

hello. you are out of RAM. please set virtual RAM to like 50 GB on your fast disk and it should get fixed

Jesen

Interesting. After generating one second of video, I get: Offloading DynamicSwap_HunyuanVideoTransformer3DModelPacked from cuda:0 to preserve memory: 8 GB Press Any Key to continue.... and it errors out in the interface. Is this a settings issue? 4060 16gb

DanO..

I'm enjoying experimenting with this. I can't wait for loras and possibly WAN support because it's clear to me WAN is superior. I'm getting a second or two less than what I ask for a couple times. Just a heads up. I got a 9 second video when asking for 10 and a 4 second when asking for 5.

Paul Knaggs

I have a new 50 series GPU. I want to make a Lora how and what platform would you recommend?

Paul Knaggs

Really good, worked like a charm on my RTX 5090

Kevin Blanzy

I'll follow up by saying I've tried to re-install. I've updated, and it's still doing it. This is with a 3090 and default settings in the app.

Kevin Blanzy

With this one, I'm getting colored noise that sort of resembles what the frames should be. It seems to be generating the whole thing normally, but the actual video looks like a really really bad TV signal where the static noise is colored and barely resembles what it's suypposed to. Kind of hard to explain. Any ideas?

Furkan Gözükara

currently you can open your 127.0.0.1 url on different tabs and gradio will automatically queue your every generation every setup. hopefully i will add more features and batch processing of folder where you will be able to set different prompt for each generation

Furkan Gözükara

Gradio has api itself so check bottom of your gradio app you will see Use via API

Tobe2d

Can this be used through API to use through http request ? As Always, thank you so much for all the hard work providing us the latest and greatest one lick apps 🙏

throwawayacc117

hi, new here. thanks for this it helps alot! I got it working very quickly. A feature i'd like to request is a queue system, I wish I could leave this generating overnight running through a bunch of different images/prompts. thanks

Furkan Gözükara

thank you so much. hopefully i will add more features.

Andrea Taini

This is the best video generator I tried till now! Thank you!

Furkan Gözükara

good idea working on it right now for you

Jim Coupe

Watched the vid, installed the app, works great on my 5090, thanks a lot. One small suggestion: would it be possible to add total generation time so as we play with different settings we can get a sense of time vs output quality?

Furkan Gözükara

this is really great. adding more features already :D

Hockey

This is better than the Wan 2.1 software. =)

Furkan Gözükara

your pod simply failed. Failed to connect means pod internet error . get a new pod .

Furkan Gözükara

no lora yet. it is really great try it. i am adding new features already

cool1

It's still downloading currently, but it looks good if it can generate up to 2 minute videos and doesn't need much RAM. Though I don't know about the speed. But unless there's Lora capability won't it likely get inconsistent results after a short time (unless a person/character etc. is always facing in roughly the same direction)? Is there not a Lora option?

Damjan Žakelj

I get few errors when installing in RunPod, fist one is in the star of install: Cloning into 'FramePack'... fatal: unable to access 'https://github.com/FurkanGozukara/FramePack/': Failed to connect to github.com port 443 after 133653 ms: Connection timed out ./RunPod_Install.sh: line 10: cd: FramePack: No such file or directory, And when i try to start it, I get: bash: cd: /workspace/FramePack: No such file or directory python: can't open file '/workspace/app.py': [Errno 2] No such file or directory (venv) root@d0968809e9a8:/workspace#