支持6G显存低端显卡的视频生成工具。Framepack 最新版下载链接。以下内容转自Github. 下载用户自己参考。
FramePack is a next-frame (next-frame-section) prediction neural network structure that generates videos progressively.
FramePack compresses input contexts to a constant length so that the generation workload is invariant to video length.
FramePack can process a very large number of frames with 13B models even on laptop GPUs.
FramePack can be trained with a much larger batch size, similar to the batch size for image diffusion training.
Video diffusion, but feels like image diffusion.
Notes
FramePack is a next-frame (next-frame-section) prediction neural network structure that generates videos progressively.
FramePack compresses input contexts to a constant length so that the generation workload is invariant to video length.
FramePack can process a very large number of frames with 13B models even on laptop GPUs.
FramePack can be trained with a much larger batch size, similar to the batch size for image diffusion training.
Video diffusion, but feels like image diffusion.
Notes
Note that this GitHub repository is the only official FramePack website. We do not have any web services. All other websites are spam and fake, including but not limited to framepack.co, frame_pack.co, framepack.net, frame_pack.net, framepack.ai, frame_pack.ai, framepack.pro, frame_pack.pro, framepack.cc, frame_pack.cc,framepackai.co, frame_pack_ai.co, framepackai.net, frame_pack_ai.net, framepackai.pro, frame_pack_ai.pro, framepackai.cc, frame_pack_ai.cc, and so on. Again, they are all spam and fake. Do not pay money or download files from any of those websites.
Hardware Requirements:
Nvidia GPU in RTX 30XX, 40XX, 50XX series that supports fp16 and bf16. The GTX 10XX/20XX are not tested.
Linux or Windows operating system.
At least 6GB GPU memory.
To generate 1-minute video (60 seconds) at 30fps (1800 frames) using 13B model, the minimal required GPU memory is 6GB. (Yes 6 GB, not a typo. Laptop GPUs are okay.)
About speed, on my RTX 4090 desktop it generates at a speed of 2.5 seconds/frame (unoptimized) or 1.5 seconds/frame (teacache). On my laptops like 3070ti laptop or 3060 laptop, it is about 4x to 8x slower.
In any case, you will directly see the generated frames since it is next-frame(-section) prediction. So you will get lots of visual feedback before the entire video is generated.
Requirements
Note that this repo is a functional desktop software with minimal standalone high-quality sampling system and memory management.
Start with this repo before you try anything else!
Requirements:
—-Nvidia GPU in RTX 30XX, 40XX, 50XX series that supports fp16 and bf16. The GTX 10XX/20XX are not tested.
—-At least 6GB GPU memory.
To generate 1-minute video (60 seconds) at 30fps (1800 frames) using 13B model, the minimal required GPU memory is 6GB. (Yes 6 GB, not a typo. Laptop GPUs are okay.)
About speed, on my RTX 4090 desktop it generates at a speed of 2.5 seconds/frame (unoptimized) or 1.5 seconds/frame (teacache). On my laptops like 3070ti laptop or 3060 laptop, it is about 4x to 8x slower.
In any case, you will directly see the generated frames since it is next-frame(-section) prediction. So you will get lots of visual feedback before the entire video is generated.
下载地址：
链接: https://caiyun.139.com/m/i?2mKnERh0Y83u9
提取码:hk1m