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* 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
Research projects
This folder contains various research projects using 🧨 Diffusers. They are not really maintained by the core maintainers of this library and often require a specific version of Diffusers that is indicated in the requirements file of each folder. Updating them to the most recent version of the library will require some work.
To use any of them, just run the command
pip install -r requirements.txt
inside the folder of your choice.
If you need help with any of those, please open an issue where you directly ping the author(s), as indicated at the top of the README of each folder.