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Sayak Paul authored
* feat: pipeline-level quant config. Co-authored-by:
SunMarc <marc.sun@hotmail.fr> condition better. support mapping. improvements. [Quantization] Add Quanto backend (#10756) * update * updaet * update * update * update * update * update * update * update * update * update * update * Update docs/source/en/quantization/quanto.md Co-authored-by:
Sayak Paul <spsayakpaul@gmail.com> * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * update * Update src/diffusers/quantizers/quanto/utils.py Co-authored-by:
Dhruv Nair <dhruv.nair@gmail.com> [LoRA] Improve warning messages when LoRA loading becomes a no-op (#10187) * updates * updates * updates * updates * notebooks revert * fix-copies. * seeing * fix * revert * fixes * fixes * fixes * remove print * fix * conflicts ii. * updates * fixes * better filtering of prefix. --------- Co-authored-by:
hlky <hlky@hlky.ac> [LoRA] CogView4 (#10981) * update * make fix-copies * update [Tests] improve quantization tests by additionally measuring the inference memory savings (#11021) * memory usage tests * fixes * gguf [`Research Project`] Add AnyText: Multilingual Visual Text Generation And Editing (#8998) * Add initial template * Second template * feat: Add TextEmbeddingModule to AnyTextPipeline * feat: Add AuxiliaryLatentModule template to AnyTextPipeline * Add bert tokenizer from the anytext repo for now * feat: Update AnyTextPipeline's modify_prompt method This commit adds improvements to the modify_prompt method in the AnyTextPipeline class. The method now handles special characters and replaces selected string prompts with a placeholder. Additionally, it includes a check for Chinese text and translation using the trans_pipe. * Fill in the `forward` pass of `AuxiliaryLatentModule` * `make style && make quality` * `chore: Update bert_tokenizer.py with a TODO comment suggesting the use of the transformers library` * Update error handling to raise and logging * Add `create_glyph_lines` function into `TextEmbeddingModule` * make style * Up * Up * Up * Up * Remove several comments * refactor: Remove ControlNetConditioningEmbedding and update code accordingly * Up * Up * up * refactor: Update AnyTextPipeline to include new optional parameters * up * feat: Add OCR model and its components * chore: Update `TextEmbeddingModule` to include OCR model components and dependencies * chore: Update `AuxiliaryLatentModule` to include VAE model and its dependencies for masked image in the editing task * `make style` * refactor: Update `AnyTextPipeline`'s docstring * Update `AuxiliaryLatentModule` to include info dictionary so that text processing is done once * simplify * `make style` * Converting `TextEmbeddingModule` to ordinary `encode_prompt()` function * Simplify for now * `make style` * Up * feat: Add scripts to convert AnyText controlnet to diffusers * `make style` * Fix: Move glyph rendering to `TextEmbeddingModule` from `AuxiliaryLatentModule` * make style * Up * Simplify * Up * feat: Add safetensors module for loading model file * Fix device issues * Up * Up * refactor: Simplify * refactor: Simplify code for loading models and handling data types * `make style` * refactor: Update to() method in FrozenCLIPEmbedderT3 and TextEmbeddingModule * refactor: Update dtype in embedding_manager.py to match proj.weight * Up * Add attribution and adaptation information to pipeline_anytext.py * Update usage example * Will refactor `controlnet_cond_embedding` initialization * Add `AnyTextControlNetConditioningEmbedding` template * Refactor organization * style * style * Move custom blocks from `AuxiliaryLatentModule` to `AnyTextControlNetConditioningEmbedding` * Follow one-file policy * style * [Docs] Update README and pipeline_anytext.py to use AnyTextControlNetModel * [Docs] Update import statement for AnyTextControlNetModel in pipeline_anytext.py * [Fix] Update import path for ControlNetModel, ControlNetOutput in anytext_controlnet.py * Refactor AnyTextControlNet to use configurable conditioning embedding channels * Complete control net conditioning embedding in AnyTextControlNetModel * up * [FIX] Ensure embeddings use correct device in AnyTextControlNetModel * up * up * style * [UPDATE] Revise README and example code for AnyTextPipeline integration with DiffusionPipeline * [UPDATE] Update example code in anytext.py to use correct font file and improve clarity * down * [UPDATE] Refactor BasicTokenizer usage to a new Checker class for text processing * update pillow * [UPDATE] Remove commented-out code and unnecessary docstring in anytext.py and anytext_controlnet.py for improved clarity * [REMOVE] Delete frozen_clip_embedder_t3.py as it is in the anytext.py file * [UPDATE] Replace edict with dict for configuration in anytext.py and RecModel.py for consistency *
🆙 * style * [UPDATE] Revise README.md for clarity, remove unused imports in anytext.py, and add author credits in anytext_controlnet.py * style * Update examples/research_projects/anytext/README.md Co-authored-by:Aryan <contact.aryanvs@gmail.com> * Remove commented-out image preparation code in AnyTextPipeline * Remove unnecessary blank line in README.md [Quantization] Allow loading TorchAO serialized Tensor objects with torch>=2.6 (#11018) * update * update * update * update * update * update * update * update * update fix: mixture tiling sdxl pipeline - adjust gerating time_ids & embeddings (#11012) small fix on generating time_ids & embeddings [LoRA] support wan i2v loras from the world. (#11025) * support wan i2v loras from the world. * remove copied from. * upates * add lora. Fix SD3 IPAdapter feature extractor (#11027) chore: fix help messages in advanced diffusion examples (#10923) Fix missing **kwargs in lora_pipeline.py (#11011) * Update lora_pipeline.py * Apply style fixes * fix-copies --------- Co-authored-by:
github-actions[bot] <github-actions[bot]@users.noreply.github.com> Fix for multi-GPU WAN inference (#10997) Ensure that hidden_state and shift/scale are on the same device when running with multiple GPUs Co-authored-by: Jimmy <39@
🇺🇸 .com> [Refactor] Clean up import utils boilerplate (#11026) * update * update * update Use `output_size` in `repeat_interleave` (#11030) [hybrid inference🍯 🐝 ] Add VAE encode (#11017) * [hybrid inference🍯 🐝 ] Add VAE encode * _toctree: add vae encode * Add endpoints, tests * vae_encode docs * vae encode benchmarks * api reference * changelog * Update docs/source/en/hybrid_inference/overview.md Co-authored-by:YiYi Xu <yixu310@gmail.com> making ```formatted_images``` initialization compact (#10801) compact writing Co-authored-by:
Kai zheng <kaizheng@KaideMacBook-Pro.local> Co-authored-by:
Andreas Jörg <andreasjoerg@MacBook-Pro-von-Andreas-2.fritz.box> Co-authored-by:
Juan Acevedo <jfacevedo@google.com> Fix deterministic issue when getting pipeline dtype and device (#10696) Co-authored-by:
OleehyO <leehy0357@gmail.com> Co-authored-by:
SunMarc <marc@huggingface.co> * update * fixes * fix validation. * add tests and other improvements. * add tests * import quality * remove prints. * add docs. * fixes to docs. * doc fixes. * doc fixes. * add validation to the input quantization_config. * clarify recommendations. * docs * add to ci. * todo. --------- Co-authored-by:
599c8871
