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update docs

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Aryan
2024-09-17 03:51:20 +02:00
parent f07755fd04
commit 57d7ca647e
1 changed files with 1 additions and 9 deletions
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10
examples/cogvideo/README.md
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@@ -211,7 +211,7 @@ from diffusers import CogVideoXPipeline
from diffusers.utils import export_to_video
pipe = CogVideoXPipeline.from_pretrained("THUDM/CogVideoX-2b", torch_dtype=torch.float16)
# pipe.load_lora_weights("/path/to/lora/weights") # Or,
# pipe.load_lora_weights("/path/to/lora/weights", adapter_name="cogvideox-lora") # Or,
pipe.load_lora_weights("my-awesome-hf-username/my-awesome-lora-name", adapter_name="cogvideox-lora") # If loading from the HF Hub
pipe.to("cuda")
@@ -229,11 +229,3 @@ prompt = (
frames = pipe(prompt, guidance_scale=6, use_dynamic_cfg=True).frames[0]
export_to_video(frames, "output.mp4", fps=8)
```
## Other notes
Many thanks to:
- [Fu-Yun Wang](https://github.com/g-u-n) for his help, reviews and incredible insights when debugging!
- [Yuxuan Zhang](https://github.com/zRzRzRzRzRzRzR/) for all the help with converting the [SwissArmyTransformers](https://github.com/THUDM/CogVideo/tree/main/sat) inference/finetuning codebase to Diffusers and helping with the release of the best open-weights video generation model!
- [YiYi Xu](https://github.com/yiyixuxu) for her insights, reviews and extremely sharp eyes that helped identify two major training bugs, among other things!