[Docs] DiffusionPipeline #418
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pcuenca
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Sep 8, 2022
pcuenca
reviewed
Sep 8, 2022
| Base class for all models. | ||
| [`DiffusionPipeline`] takes care of storing all components (models, schedulers, processors) for diffusion pipelines | ||
| and handles methods for loading, downloading and saving models as well as a few methods common to all pipelines to: |
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Maybe a bit too long. Suggestion:
[`DiffusionPipeline`] takes care of storing all components (models, schedulers, processors) for diffusion pipelines
and handles methods for loading, downloading and saving models. It also implements some utility methods common to all pipelines to:
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Sorry was a bit too fast here in the rush yesterday 😅 - would you maybe like to open a new PR?
| and handles methods for loading, downloading and saving models as well as a few methods common to all pipelines to: | ||
| - move all PyTorch modules to the device of your choice | ||
| - enabling/disabling the progress bar for the denoising iteration |
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Perhaps "enable/disable" (instead of "enabling/disabling") for consistency with the previous use.
| task. | ||
| The warning *Weights from XXX not used in YYY* means that the layer XXX is not used by YYY, therefore those | ||
| weights are discarded. |
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Maybe add some comment here that this is common but totally harmless in some situations. Something like:
This is common when using multimodal encoders, such as CLIP, to encode text prompts – the vision part of the model is never used so it's discarded. This is totally ok in this situation.
yoonseokjin
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Dec 25, 2023
* Start * up * up * finish
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