CompVis

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stable-diffusion-v-1-3-original

like 17

Thanks for sharing this! I can verify that this works with an A100.

This isn't working for me, I'm getting the error:

{'bert', 'vqvae'} was not found in config. Values will be initialized to default values.

TypeError Traceback (most recent call last)
/tmp/ipykernel_25398/4014842543.py in
3 from diffusers import LDMTextToImagePipeline
4 import numpy as np
----> 5 pipe = LDMTextToImagePipeline.from_pretrained("stable-diffusion-v1-3-diffusers")

/opt/conda/lib/python3.7/site-packages/diffusers/pipeline_utils.py in from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
189
190 # 5. Instantiate the pipeline
--> 191 model = pipeline_class(**init_kwargs)
192 return model
193

TypeError: init() missing 2 required positional arguments: 'vqvae' and 'bert'

Check out the updated code at the repo for the diffusers: https://huggingface.co/CompVis/stable-diffusion-v1-3-diffusers

All you need to add besides the example code is your Huggingface token

{'bert', 'vqvae'} was not found in config. Values will be initialized to default values.

Hi @neelmango , can you please try StableDiffusionPipeline instead of LDMTextToImagePipeline? A new version of Diffusers is coming out soon and these details will be ironed out and clarified :)

hm. didn't get that hint, imho sth went wrong while renaming stuff
works for me tho if i fix the commit with

%cd stable-diffusion-v1-3-diffusers
!git checkout e886cdb9fb59db7bd208a4e87665532ff27da41c
%cd ..

{'bert', 'vqvae'} was not found in config. Values will be initialized to default values.

Hi @neelmango , can you please try StableDiffusionPipeline instead of LDMTextToImagePipeline? A new version of Diffusers is coming out soon and these details will be ironed out and clarified :)

results in
TypeError: init() missing 2 required positional arguments: 'vae' and 'text_encoder'

Could you try the colab embedded in
https://huggingface.co/blog/stable_diffusion