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Sc-arsgan avatar Sc-arsgan commented on August 18, 2024

Hi ,
I had to use multiple GPU's for better resolution of video . I had tried using device_map="sequential" which is inbuilt feature of diffusers to load model on multiple GPU's .
Using this I was able to load model on multiple GPU's but I am getting an error while loading :-

.cache/huggingface/hub/models--dreamlike-art--dreamlike-photoreal-2.0/snapshots/d9e27ac81cfa72def39d74ca673219c349f0a0d5/vae/diffusion_pytorch_model.safetensors

I am getting error :-

UnpicklingError: invalid load key, '\xdc'.

Any idea how to load and run model successfully on multiple GPU's .

Note : I looked online and people suggested that weight file maybe corrupt . I re-downloaded them but still same error

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umarkhalidAI avatar umarkhalidAI commented on August 18, 2024

Has anyone found any solution?

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rob-hen avatar rob-hen commented on August 18, 2024

Hi, multi-gpu is currently not supported. A way to speed-up inference is to integrate xFormers into the CrossFrameAttnProcessor

class CrossFrameAttnProcessor:
.

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