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is stabilityai/stable-diffusion-3-medium-diffusers model supported on Gaudi, I tried to run the model , Iam getting the below error ...
Traceback (most recent call last):
File "/home/app_user/app/stable_diffusion_inference.py", line 9, in
import text_to_image_service as ttoi
File "/home/app_user/app/text_to_image_service.py", line 107, in
pipeline = GaudiStableDiffusionPipeline.from_pretrained(
File "/home/app_user/.local/lib/python3.10/site-packages/optimum/habana/diffusers/pipelines/pipeline_utils.py", line 359, in from_pretrained
return super().from_pretrained(
File "/home/app_user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
return fn(*args, **kwargs)
File "/home/app_user/.local/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 1286, in from_pretrained
loaded_sub_model = load_sub_model(
File "/home/app_user/.local/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 531, in load_sub_model
loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
File "/home/app_user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
return fn(*args, **kwargs)
File "/home/app_user/.local/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 662, in from_pretrained
raise ValueError(
ValueError: Cannot load <class 'diffusers.models.autoencoders.autoencoder_kl.AutoencoderKL'> from /home/app_user/.cache/huggingface/hub/models--stabilityai--stable-diffusion-3-medium-diffusers/snapshots/ea42f8cef0f178587cf766dc8129abd379c90671/vae because the following keys are missing:
quant_conv.bias, post_quant_conv.bias, post_quant_conv.weight, quant_conv.weight.
Please make sure to pass low_cpu_mem_usage=False and device_map=None if you want to randomly initialize those weights or else make sure your checkpoint file is correct.
Motivation
Stable diffusion 3 is the latest model which has additional features
Your contribution
I could send the piece of code which Iam using to test this model
The text was updated successfully, but these errors were encountered:
Hi @dkiran1, it's not supposed to work at the moment but will come soon.
Please share the code you used here so that we can validate it when the PR is ready.
Feature request
is stabilityai/stable-diffusion-3-medium-diffusers model supported on Gaudi, I tried to run the model , Iam getting the below error ...
Traceback (most recent call last):
File "/home/app_user/app/stable_diffusion_inference.py", line 9, in
import text_to_image_service as ttoi
File "/home/app_user/app/text_to_image_service.py", line 107, in
pipeline = GaudiStableDiffusionPipeline.from_pretrained(
File "/home/app_user/.local/lib/python3.10/site-packages/optimum/habana/diffusers/pipelines/pipeline_utils.py", line 359, in from_pretrained
return super().from_pretrained(
File "/home/app_user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
return fn(*args, **kwargs)
File "/home/app_user/.local/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 1286, in from_pretrained
loaded_sub_model = load_sub_model(
File "/home/app_user/.local/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 531, in load_sub_model
loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
File "/home/app_user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
return fn(*args, **kwargs)
File "/home/app_user/.local/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 662, in from_pretrained
raise ValueError(
ValueError: Cannot load <class 'diffusers.models.autoencoders.autoencoder_kl.AutoencoderKL'> from /home/app_user/.cache/huggingface/hub/models--stabilityai--stable-diffusion-3-medium-diffusers/snapshots/ea42f8cef0f178587cf766dc8129abd379c90671/vae because the following keys are missing:
quant_conv.bias, post_quant_conv.bias, post_quant_conv.weight, quant_conv.weight.
Please make sure to pass
low_cpu_mem_usage=False
anddevice_map=None
if you want to randomly initialize those weights or else make sure your checkpoint file is correct.Motivation
Stable diffusion 3 is the latest model which has additional features
Your contribution
I could send the piece of code which Iam using to test this model
The text was updated successfully, but these errors were encountered: