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fda1531d8a
* CheckIn - created DownSubBlocks * Added extra channels, implemented subblock fwd * Fixed connection sizes * checkin * Removed iter, next in forward * Models for SD21 & SDXL run through * Added back pipelines, cleared up connections * Cleaned up connection creation * added debug logs * updated logs * logs: added input loading * Update umer_debug_logger.py * log: Loading hint * Update umer_debug_logger.py * added logs * Changed debug logging * debug: added more logs * Fixed num_norm_groups * Debug: Logging all of SDXL input * Update umer_debug_logger.py * debug: updated logs * checkim * Readded tests * Removed debug logs * Fixed Slow Tests * Added value ckecks | Updated model_cpu_offload_seq * accelerate-offloading works ; fast tests work * Made unet & addon explicit in controlnet * Updated slow tests * Added dtype/device to ControlNetXS * Filled in test model paths * Added image_encoder/feature_extractor to XL pipe * Fixed fast tests * Added comments and docstrings * Fixed copies * Added docs ; Updates slow tests * Moved changes to UNetMidBlock2DCrossAttn * tiny cleanups * Removed stray prints * Removed ip adapters + freeU - Removed ip adapters + freeU as they don't make sense for ControlNet-XS - Fixed imports of UNet components * Fixed test_save_load_float16 * Make style, quality, fix-copies * Changed loading/saving API for ControlNetXS - Changed loading/saving API for ControlNetXS - other small fixes * Removed ControlNet-XS from research examples * Make style, quality, fix-copies * Small fixes - deleted ControlNetXSModel.init_original - added time_embedding_mix to StableDiffusionControlNetXSPipeline .from_pretrained / StableDiffusionXLControlNetXSPipeline.from_pretrained - fixed copy hints * checkin May 11 '23 * CheckIn Mar 12 '24 * Fixed tests for SD * Added tests for UNetControlNetXSModel * Fixed SDXL tests * cleanup * Delete Pipfile * CheckIn Mar 20 Started replacing sub blocks by `ControlNetXSCrossAttnDownBlock2D` and `ControlNetXSCrossAttnUplock2D` * check-in Mar 23 * checkin 24 Mar * Created init for UNetCnxs and CnxsAddon * CheckIn * Made from_modules, from_unet and no_control work * make style,quality,fix-copies & small changes * Fixed freezing * Added gradient ckpt'ing; fixed tests * Fix slow tests(+compile) ; clear naming confusion * Don't create UNet in init ; removed class_emb * Incorporated review feedback - Deleted get_base_pipeline / get_controlnet_addon for pipes - Pipes inherit from StableDiffusionXLPipeline - Made module dicts for cnxs-addon's down/mid/up classes - Added support for qkv fusion and freeU * Make style, quality, fix-copies * Implemented review feedback * Removed compatibility check for vae/ctrl embedding * make style, quality, fix-copies * Delete Pipfile * Integrated review feedback - Importing ControlNetConditioningEmbedding now - get_down/mid/up_block_addon now outside class - renamed `do_control` to `apply_control` * Reduced size of test tensors For this, added `norm_num_groups` as parameter everywhere * Renamed cnxs-`Addon` to cnxs-`Adapter` - `ControlNetXSAddon` -> `ControlNetXSAdapter` - `ControlNetXSAddonDownBlockComponents` -> `DownBlockControlNetXSAdapter`, and similarly for mid/up - `get_mid_block_addon` -> `get_mid_block_adapter`, and similarly for mid/up * Fixed save_pretrained/from_pretrained bug * Removed redundant code --------- Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
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.