fusing

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ddim-lsun-church

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(De)fusing 36

As of 2/6/24 with diffusers version 0.26.2, using the code in the documentation, an error is raised running on Google Colab and personal installtion.

from diffusers import DiffusionPipeline
import PIL.Image
import numpy as np

model_id = "fusing/ddim-lsun-church"

# load model and scheduler
ddpm = DiffusionPipeline.from_pretrained(model_id)

# run pipeline in inference (sample random noise and denoise)
image = ddpm(eta=0.0, num_inference_steps=50)

# process image to PIL
image_processed = image.cpu().permute(0, 2, 3, 1)
image_processed = (image_processed + 1.0) * 127.5
image_processed = image_processed.numpy().astype(np.uint8)
image_pil = PIL.Image.fromarray(image_processed[0])

# save image
image_pil.save("test.png")

with error

AttributeError: module diffusers has no attribute DDIM

Similarly, using the documented code on https://huggingface.co/docs/diffusers/en/api/pipelines/ddim

from diffusers import DDIMPipeline
import PIL.Image
import numpy as np

# load model and scheduler
pipe = DDIMPipeline.from_pretrained("fusing/ddim-lsun-bedroom")

# run pipeline in inference (sample random noise and denoise)
image = pipe(eta=0.0, num_inference_steps=50)

# process image to PIL
image_processed = image.cpu().permute(0, 2, 3, 1)
image_processed = (image_processed + 1.0) * 127.5
image_processed = image_processed.numpy().astype(np.uint8)
image_pil = PIL.Image.fromarray(image_processed[0])

# save image
image_pil.save("test.png")

results in

AttributeError: module diffusers has no attribute UNetModel

Any help is appreciated.