add some script of lora test #66
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Co-authored-by: Sayak Paul <[email protected]>
sayakpaul
approved these changes
Oct 23, 2024
tests/test_lora_inference.py
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| def generate_video(prompt, lora_path, lora_name, output_file, fps): | ||
| pipe = CogVideoXPipeline.from_pretrained("THUDM/CogVideoX-5b", torch_dtype=torch.bfloat16).to("cuda") |
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I think this should be supplied too, no? What if someone used the 2B variant?
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Yes, I can turn the model ID into a variable and then add it in.
tests/test_lora_inference.py
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| Run this test in Lora adpater checking: | ||
| ```shell | ||
| python3 test_lora_inference.py --prompt "Your prompt" --lora_path "path/to/lora" --lora_name "lora_adapter" --output_file "output.mp4" --fps 8 |
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Maybe we use a working command as an example here?
Path to LoRA can either be local or a Hub id.
sayakpaul
approved these changes
Oct 25, 2024
a-r-r-o-w
approved these changes
Oct 25, 2024
| @@ -8,8 +8,8 @@ peft>=0.12.0 | |||
| decord>=0.6.0 | |||
| wandb | |||
| pandas | |||
| torch>=2.4.0 | |||
| torchvision>=0.19.0 | |||
| torch>=2.5.0 | |||
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I think this will not work at the moment because of the cuDNN errors: huggingface/diffusers#9704
Suggested change
| torch>=2.5.0 | |
| torch<2.5.0 |
| torch>=2.4.0 | ||
| torchvision>=0.19.0 | ||
| torch>=2.5.0 | ||
| torchvision>=0.20.0 |
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Suggested change
| torchvision>=0.20.0 | |
| torchvision<0.20.0 |
Same reason as above
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