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Docs (#45) * first pass at docs structure * minor reformatting, add github actions for docs * populate docs (primarily from README, some writing)
2022-07-13 09:42:05 -06:00
- sections:
- local: index
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
title: "🧨 Diffusers"
Docs (#45) * first pass at docs structure * minor reformatting, add github actions for docs * populate docs (primarily from README, some writing)
2022-07-13 09:42:05 -06:00
- local: quicktour
[Docs] Let's go (#385)
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title: "Quicktour"
- local: installation
title: "Installation"
title: "Get started"
Docs (#45) * first pass at docs structure * minor reformatting, add github actions for docs * populate docs (primarily from README, some writing)
2022-07-13 09:42:05 -06:00
- sections:
- sections:
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
- local: using-diffusers/loading
title: "Loading Pipelines, Models, and Schedulers"
Add Scheduler.from_pretrained and better scheduler changing (#1286) * add conversion script for vae * uP * uP * more changes * push * up * finish again * up * up * up * up * finish * up * uP * up * Apply suggestions from code review Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: Anton Lozhkov <anton@huggingface.co> Co-authored-by: Suraj Patil <surajp815@gmail.com> * up * up Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: Anton Lozhkov <anton@huggingface.co> Co-authored-by: Suraj Patil <surajp815@gmail.com>
2022-11-15 10:15:13 -07:00
- local: using-diffusers/schedulers
title: "Using different Schedulers"
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
- local: using-diffusers/configuration
title: "Configuring Pipelines, Models, and Schedulers"
add community pipeline docs; add minimal text to some empty doc pages (#930) * add community pipeline docs * fix style in code snippets (lol) * clean up loading docs * add license to doc files * fix some weird links
2022-10-24 15:20:08 -06:00
- local: using-diffusers/custom_pipeline_overview
title: "Loading and Adding Custom Pipelines"
title: "Loading & Hub"
Docs (#45) * first pass at docs structure * minor reformatting, add github actions for docs * populate docs (primarily from README, some writing)
2022-07-13 09:42:05 -06:00
- sections:
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
- local: using-diffusers/unconditional_image_generation
title: "Unconditional Image Generation"
- local: using-diffusers/conditional_image_generation
title: "Text-to-Image Generation"
- local: using-diffusers/img2img
title: "Text-Guided Image-to-Image"
- local: using-diffusers/inpaint
title: "Text-Guided Image-Inpainting"
add community pipeline docs; add minimal text to some empty doc pages (#930) * add community pipeline docs * fix style in code snippets (lol) * clean up loading docs * add license to doc files * fix some weird links
2022-10-24 15:20:08 -06:00
- local: using-diffusers/custom_pipeline_examples
title: "Community Pipelines"
- local: using-diffusers/contribute_pipeline
title: "How to contribute a Pipeline"
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
title: "Pipelines for Inference"
title: "Using Diffusers"
- sections:
- local: optimization/fp16
Docs: fp16 page (#404) * Initial version of `fp16` page. * Fix typo in README. * Change titles of fp16 section in toctree. * PR suggestion Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * PR suggestion Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Clarify attention slicing is useful even for batches of 1 Explained by @patrickvonplaten after a suggestion by @keturn. Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Do not talk about `batches` in `enable_attention_slicing`. * Use Tip (just for fun), add link to method. * Comment about fp16 results looking the same as float32 in practice. * Style: docstring line wrapping. Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2022-09-08 01:17:51 -06:00
title: "Memory and Speed"
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
- local: optimization/onnx
title: "ONNX"
- local: optimization/open_vino
Fix typo in documentation title (#975)
2022-10-25 12:20:16 -06:00
title: "OpenVINO"
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
- local: optimization/mps
title: "MPS"
title: "Optimization/Special Hardware"
- sections:
[Docs] Finish Intro Section (#402) * up * up * finish
2022-09-07 10:00:49 -06:00
- local: training/overview
title: "Overview"
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
- local: training/unconditional_training
title: "Unconditional Image Generation"
- local: training/text_inversion
Update training and fine-tuning docs (#1020) * Update training and fine-tuning docs. * Update examples README. * Update README. * Add Flax fine-tuning section. * Accept suggestion Co-authored-by: Anton Lozhkov <anton@huggingface.co> * Accept suggestion Co-authored-by: Anton Lozhkov <anton@huggingface.co> Co-authored-by: Anton Lozhkov <anton@huggingface.co>
2022-10-28 13:02:08 -06:00
title: "Textual Inversion"
- local: training/dreambooth
title: "Dreambooth"
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
- local: training/text2image
Update training and fine-tuning docs (#1020) * Update training and fine-tuning docs. * Update examples README. * Update README. * Add Flax fine-tuning section. * Accept suggestion Co-authored-by: Anton Lozhkov <anton@huggingface.co> * Accept suggestion Co-authored-by: Anton Lozhkov <anton@huggingface.co> Co-authored-by: Anton Lozhkov <anton@huggingface.co>
2022-10-28 13:02:08 -06:00
title: "Text-to-image fine-tuning"
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
title: "Training"
- sections:
- local: conceptual/stable_diffusion
title: "Stable Diffusion"
- local: conceptual/philosophy
title: "Philosophy"
- local: conceptual/contribution
title: "How to contribute?"
title: "Conceptual Guides"
- sections:
Docs (#45) * first pass at docs structure * minor reformatting, add github actions for docs * populate docs (primarily from README, some writing)
2022-07-13 09:42:05 -06:00
- sections:
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
- local: api/models
title: "Models"
- local: api/schedulers
title: "Schedulers"
- local: api/diffusion_pipeline
title: "Diffusion Pipeline"
- local: api/logging
title: "Logging"
- local: api/configuration
title: "Configuration"
- local: api/outputs
title: "Outputs"
title: "Main Classes"
Docs (#45) * first pass at docs structure * minor reformatting, add github actions for docs * populate docs (primarily from README, some writing)
2022-07-13 09:42:05 -06:00
- sections:
[Docs] Finish Intro Section (#402) * up * up * finish
2022-09-07 10:00:49 -06:00
- local: api/pipelines/overview
title: "Overview"
Add AltDiffusion (#1299) * add conversion script for vae * up * up * some fixes * add text model * use the correct config * add docs * move model in it's own file * move model in its own file * pass attenion mask to text encoder * pass attn mask to uncond inputs * quality * fix image2image * add imag2image in init * fix import * fix one more import * fix import, dummy objetcs * fix copied from * up * finish Co-authored-by: patil-suraj <surajp815@gmail.com>
2022-11-15 13:32:26 -07:00
- local: api/pipelines/alt_diffusion
title: "AltDiffusion"
Add CycleDiffusion pipeline using Stable Diffusion (#888) * Add CycleDiffusion pipeline for Stable Diffusion * Add the option of passing noise to DDIMScheduler Add the option of providing the noise itself to DDIMScheduler, instead of the random seed generator. * Update README.md * Update README.md * Update pipeline_stable_diffusion_cycle_diffusion.py * Update pipeline_stable_diffusion_cycle_diffusion.py * Update pipeline_stable_diffusion_cycle_diffusion.py * Update pipeline_stable_diffusion_cycle_diffusion.py * Update scheduling_ddim.py * Update import format * Update pipeline_stable_diffusion_cycle_diffusion.py * Update scheduling_ddim.py * Update src/diffusers/schedulers/scheduling_ddim.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/schedulers/scheduling_ddim.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/schedulers/scheduling_ddim.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/schedulers/scheduling_ddim.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/schedulers/scheduling_ddim.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update scheduling_ddim.py * Update scheduling_ddim.py * Update scheduling_ddim.py * add two tests * Update pipeline_stable_diffusion_cycle_diffusion.py * Update pipeline_stable_diffusion_cycle_diffusion.py * Update README.md * Rename pipeline name as suggested in the latest reviewer comment * Update test_pipelines.py * Update test_pipelines.py * Update test_pipelines.py * Update pipeline_stable_diffusion_cycle_diffusion.py * Remove the generator This generator does not control all randomness during sampling, which can be misleading. * Update optimal hyperparameters * Update src/diffusers/pipelines/stable_diffusion/README.md Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/README.md Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/README.md Co-authored-by: Suraj Patil <surajp815@gmail.com> * Apply suggestions from code review * uP * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_cycle_diffusion.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * up * up * Replace assert with ValueError * finish docs Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Suraj Patil <surajp815@gmail.com>
2022-11-04 13:51:06 -06:00
- local: api/pipelines/cycle_diffusion
title: "Cycle Diffusion"
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
- local: api/pipelines/ddim
title: "DDIM"
- local: api/pipelines/ddpm
Docs (#45) * first pass at docs structure * minor reformatting, add github actions for docs * populate docs (primarily from README, some writing)
2022-07-13 09:42:05 -06:00
title: "DDPM"
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
- local: api/pipelines/latent_diffusion
title: "Latent Diffusion"
- local: api/pipelines/latent_diffusion_uncond
title: "Unconditional Latent Diffusion"
- local: api/pipelines/pndm
title: "PNDM"
- local: api/pipelines/score_sde_ve
title: "Score SDE VE"
- local: api/pipelines/stable_diffusion
title: "Stable Diffusion"
- local: api/pipelines/stochastic_karras_ve
title: "Stochastic Karras VE"
[Dance Diffusion] Add dance diffusion (#803) * start * add more logic * Update src/diffusers/models/unet_2d_condition_flax.py * match weights * up * make model work * making class more general, fixing missed file rename * small fix * make new conversion work * up * finalize conversion * up * first batch of variable renamings * remove c and c_prev var names * add mid and out block structure * add pipeline * up * finish conversion * finish * upload * more fixes * Apply suggestions from code review * add attr * up * uP * up * finish tests * finish * uP * finish * fix test * up * naming consistency in tests * Apply suggestions from code review Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: Nathan Lambert <nathan@huggingface.co> Co-authored-by: Anton Lozhkov <anton@huggingface.co> * remove hardcoded 16 * Remove bogus * fix some stuff * finish * improve logging * docs * upload Co-authored-by: Nathan Lambert <nol@berkeley.edu> Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: Nathan Lambert <nathan@huggingface.co> Co-authored-by: Anton Lozhkov <anton@huggingface.co>
2022-10-25 10:39:25 -06:00
- local: api/pipelines/dance_diffusion
title: "Dance Diffusion"
VQ-diffusion (#658) * Changes for VQ-diffusion VQVAE Add specify dimension of embeddings to VQModel: `VQModel` will by default set the dimension of embeddings to the number of latent channels. The VQ-diffusion VQVAE has a smaller embedding dimension, 128, than number of latent channels, 256. Add AttnDownEncoderBlock2D and AttnUpDecoderBlock2D to the up and down unet block helpers. VQ-diffusion's VQVAE uses those two block types. * Changes for VQ-diffusion transformer Modify attention.py so SpatialTransformer can be used for VQ-diffusion's transformer. SpatialTransformer: - Can now operate over discrete inputs (classes of vector embeddings) as well as continuous. - `in_channels` was made optional in the constructor so two locations where it was passed as a positional arg were moved to kwargs - modified forward pass to take optional timestep embeddings ImagePositionalEmbeddings: - added to provide positional embeddings to discrete inputs for latent pixels BasicTransformerBlock: - norm layers were made configurable so that the VQ-diffusion could use AdaLayerNorm with timestep embeddings - modified forward pass to take optional timestep embeddings CrossAttention: - now may optionally take a bias parameter for its query, key, and value linear layers FeedForward: - Internal layers are now configurable ApproximateGELU: - Activation function in VQ-diffusion's feedforward layer AdaLayerNorm: - Norm layer modified to incorporate timestep embeddings * Add VQ-diffusion scheduler * Add VQ-diffusion pipeline * Add VQ-diffusion convert script to diffusers * Add VQ-diffusion dummy objects * Add VQ-diffusion markdown docs * Add VQ-diffusion tests * some renaming * some fixes * more renaming * correct * fix typo * correct weights * finalize * fix tests * Apply suggestions from code review Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> * Apply suggestions from code review Co-authored-by: Pedro Cuenca <pedro@huggingface.co> * finish * finish * up Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
2022-11-03 09:10:28 -06:00
- local: api/pipelines/vq_diffusion
title: "VQ Diffusion"
feat: add repaint (#974) * feat: add repaint * fix: fix quality check with `make fix-copies` * fix: remove old unnecessary arg * chore: change default to DDPM (looks better in experiments) * ".to(device)" changed to "device=" Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> * make generator device-specific Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> * make generator device-specific and change shape Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> * fix: add preprocessing for image and mask Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> * fix: update test Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> * Update src/diffusers/pipelines/repaint/pipeline_repaint.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Add docs and examples * Fix toctree Co-authored-by: fja <fja@zurich.ibm.com> Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Anton Lozhkov <anton@huggingface.co>
2022-11-03 08:42:46 -06:00
- local: api/pipelines/repaint
title: "RePaint"
[Docs] Let's go (#385)
2022-09-07 03:31:13 -06:00
title: "Pipelines"
Docs: fix undefined in toctree (#406) fix undefined in toctree
2022-09-07 15:02:36 -06:00
title: "API"