Unverified Commit 0cfbb51b authored by Nathan Lambert's avatar Nathan Lambert Committed by GitHub
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add docs for multi-modal examples (#1227)



* add docs for multi-modal

* many changes

* fix docs build

* fix links

* Update docs/source/using-diffusers/other-modalities.mdx
Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
Co-authored-by: default avatarPedro Cuenca <pedro@huggingface.co>
parent b9b7039f
......@@ -345,7 +345,8 @@ Textual Inversion is a technique for capturing novel concepts from a small numbe
## Stable Diffusion Community Pipelines
The release of Stable Diffusion as an open source model has fostered a lot of interesting ideas and experimentation. Our [Community Examples folder](https://github.com/huggingface/diffusers/tree/main/examples/community) contains many ideas worth exploring, like interpolating to create animated videos, using CLIP Guidance for additional prompt fidelity, term weighting, and much more! [Take a look](https://huggingface.co/docs/diffusers/using-diffusers/custom_pipeline_overview) and [contribute your own](https://huggingface.co/docs/diffusers/using-diffusers/contribute_pipeline).
The release of Stable Diffusion as an open source model has fostered a lot of interesting ideas and experimentation.
Our [Community Examples folder](https://github.com/huggingface/diffusers/tree/main/examples/community) contains many ideas worth exploring, like interpolating to create animated videos, using CLIP Guidance for additional prompt fidelity, term weighting, and much more! [Take a look](https://huggingface.co/docs/diffusers/using-diffusers/custom_pipeline_overview) and [contribute your own](https://huggingface.co/docs/diffusers/using-diffusers/contribute_pipeline).
## Other Examples
......@@ -394,10 +395,14 @@ image.save("ddpm_generated_image.png")
- [Unconditional Latent Diffusion](https://huggingface.co/CompVis/ldm-celebahq-256)
- [Unconditional Diffusion with continuous scheduler](https://huggingface.co/google/ncsnpp-ffhq-1024)
**Other Notebooks**:
**Other Image Notebooks**:
* [image-to-image generation with Stable Diffusion](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/image_2_image_using_diffusers.ipynb) ![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg),
* [tweak images via repeated Stable Diffusion seeds](https://colab.research.google.com/github/pcuenca/diffusers-examples/blob/main/notebooks/stable-diffusion-seeds.ipynb) ![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg),
**Diffusers for Other Modalities**:
* [Molecule conformation generation](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/geodiff_molecule_conformation.ipynb) ![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg),
* [Model-based reinforcement learning](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/reinforcement_learning_with_diffusers.ipynb) ![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg),
### Web Demos
If you just want to play around with some web demos, you can try out the following 🚀 Spaces:
| Model | Hugging Face Spaces |
......
......@@ -31,6 +31,14 @@
- local: using-diffusers/contribute_pipeline
title: "How to contribute a Pipeline"
title: "Pipelines for Inference"
- sections:
- local: using-diffusers/rl
title: "Reinforcement Learning"
- local: using-diffusers/audio
title: "Audio"
- local: using-diffusers/other-modalities
title: "Other Modalities"
title: "Taking Diffusers Beyond Images"
title: "Using Diffusers"
- sections:
- local: optimization/fp16
......@@ -107,4 +115,8 @@
- local: api/pipelines/repaint
title: "RePaint"
title: "Pipelines"
- sections:
- local: api/experimental/rl
title: "RL Planning"
title: "Experimental Features"
title: "API"
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# TODO
Coming soon!
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# Using Diffusers for audio
The [`DanceDiffusionPipeline`] can be used to generate audio rapidly!
More coming soon!
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# Using Diffusers with other modalities
Diffusers is in the process of expanding to modalities other than images.
Currently, one example is for [molecule conformation](https://www.nature.com/subjects/molecular-conformation#:~:text=Definition,to%20changes%20in%20their%20environment.) generation.
* Generate conformations in Colab [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/geodiff_molecule_conformation.ipynb)
More coming soon!
\ No newline at end of file
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.
-->
# Using Diffusers for reinforcement learning
Support for one RL model and related pipelines is included in the `experimental` source of diffusers.
To try some of this in colab, please look at the following example:
* Model-based reinforcement learning on Colab [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/reinforcement_learning_with_diffusers.ipynb) ![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)
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