safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooLarge about animatediff HOT 7 CLOSED

run command: python -m scripts.animate --config configs/prompts/2-Lyriel.yaml --pretrained_model_path="models/StableDiffusion"

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downloaded file of sd 1.5 could be corruped.

In my case, re-downloading fixed this issue.

See AUTOMATIC1111/stable-diffusion-webui#8123

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@SSUHan Yes, you are right, I did not expect that it would be necessary to download absolutely all models from https://huggingface.co/runwayml/stable-diffusion-v1-5/tree/main?doi=true, I thought it would be enough only the original stable diffusion model. My thanks

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Hello to you all @Int37 @SSUHan ,
can you give me a screenshot of your config inside the "webUI" that was made by the animatediff team?
(In particular what path value did you insert here : "Model checkpoints (select pretrained model path first)." ??)

I would also like to see what did you put inside the models folder, here is what I have:

And whenever I go the UI and try to select a value for the models path I get an error:

Thanks

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I am facing same issue. Any solution?

from animatediff.

I am facing same issue. Any solution?

with safe_open(lora_path, framework='pt', device='cpu') as f:

safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooLarge

from animatediff.

I am facing same issue. Any solution?

with safe_open(lora_path, framework='pt', device='cpu') as f:

safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooLarge

The '.safetensors' model as an adapter didn't work for me. Instead, I used the '.bin' adapter model to load it into the TextGen UI.

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