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Fix indentation in the code example (#802)

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Update custom_pipelines.mdx
This commit is contained in:
Omar Sanseviero
2022-10-11 20:26:52 +02:00
committed by GitHub
parent e895952816
commit 757babfcad
1 changed files with 13 additions and 13 deletions
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26
docs/source/using-diffusers/custom_pipelines.mdx
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@@ -91,24 +91,24 @@ class MyPipeline(DiffusionPipeline):
# Sample gaussian noise to begin loop
image = torch.randn((batch_size, self.unet.in_channels, self.unet.sample_size, self.unet.sample_size))
image = image.to(self.device)
image = image.to(self.device)
# set step values
self.scheduler.set_timesteps(num_inference_steps)
# set step values
self.scheduler.set_timesteps(num_inference_steps)
for t in self.progress_bar(self.scheduler.timesteps):
# 1. predict noise model_output
model_output = self.unet(image, t).sample
for t in self.progress_bar(self.scheduler.timesteps):
# 1. predict noise model_output
model_output = self.unet(image, t).sample
# 2. predict previous mean of image x_t-1 and add variance depending on eta
# eta corresponds to η in paper and should be between [0, 1]
# do x_t -> x_t-1
image = self.scheduler.step(model_output, t, image, eta).prev_sample
# 2. predict previous mean of image x_t-1 and add variance depending on eta
# eta corresponds to η in paper and should be between [0, 1]
# do x_t -> x_t-1
image = self.scheduler.step(model_output, t, image, eta).prev_sample
image = (image / 2 + 0.5).clamp(0, 1)
image = image.cpu().permute(0, 2, 3, 1).numpy()
image = (image / 2 + 0.5).clamp(0, 1)
image = image.cpu().permute(0, 2, 3, 1).numpy()
return image
return image
```
Now you can upload this short file under the name `pipeline.py` in your preferred [model repository](https://huggingface.co/docs/hub/models-uploading). For Stable Diffusion pipelines, you may also [join the community organisation for shared pipelines](https://huggingface.co/organizations/sd-diffusers-pipelines-library/share/BUPyDUuHcciGTOKaExlqtfFcyCZsVFdrjr) to upload yours.