- 02 Dec, 2025 1 commit
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Guo-Hua Wang authored
* add ovis_image * fix code quality * optimize pipeline_ovis_image.py according to the feedbacks * optimize imports * add docs * make style * make style * add ovis to toctree * oops --------- Co-authored-by:YiYi Xu <yixu310@gmail.com>
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- 25 Nov, 2025 1 commit
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Jerry Wu authored
* Add Support for Z-Image. * Reformatting with make style, black & isort. * Remove init, Modify import utils, Merge forward in transformers block, Remove once func in pipeline. * modified main model forward, freqs_cis left * refactored to add B dim * fixed stack issue * fixed modulation bug * fixed modulation bug * fix bug * remove value_from_time_aware_config * styling * Fix neg embed and devide / bug; Reuse pad zero tensor; Turn cat -> repeat; Add hint for attn processor. * Replace padding with pad_sequence; Add gradient checkpointing. * Fix flash_attn3 in dispatch attn backend by _flash_attn_forward, replace its origin implement; Add DocString in pipeline for that. * Fix Docstring and Make Style. * Revert "Fix flash_attn3 in dispatch attn backend by _flash_attn_forward, replace its origin implement; Add DocString in pipeline for that." This reverts commit fbf26b7ed11d55146103c97740bad4a5f91744e0. * update z-image docstring * Revert attention dispatcher * update z-image docstring * styling * Recover attention_dispatch.py with its origin impl, later would special commit for fa3 compatibility. * Fix prev bug, and support for prompt_embeds pass in args after prompt pre-encode as List of torch Tensor. * Remove einop dependency. * remove redundant imports & make fix-copies * fix import --------- Co-authored-by:liudongyang <liudongyang0114@gmail.com>
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- 22 Oct, 2025 1 commit
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David Bertoin authored
* rename photon to prx * rename photon into prx * Revert .gitignore to state before commit b7fb0fe9d63bf766bbe3c42ac154a043796dd370 * rename photon to prx * rename photon into prx * Revert .gitignore to state before commit b7fb0fe9d63bf766bbe3c42ac154a043796dd370 * make fix-copies
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- 21 Oct, 2025 1 commit
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David Bertoin authored
* Add Photon model and pipeline support This commit adds support for the Photon image generation model: - PhotonTransformer2DModel: Core transformer architecture - PhotonPipeline: Text-to-image generation pipeline - Attention processor updates for Photon-specific attention mechanism - Conversion script for loading Photon checkpoints - Documentation and tests * just store the T5Gemma encoder * enhance_vae_properties if vae is provided only * remove autocast for text encoder forwad * BF16 example * conditioned CFG * remove enhance vae and use vae.config directly when possible * move PhotonAttnProcessor2_0 in transformer_photon * remove einops dependency and now inherits from AttentionMixin * unify the structure of the forward block * update doc * update doc * fix T5Gemma loading from hub * fix timestep shift * remove lora support from doc * Rename EmbedND for PhotoEmbedND * remove modulation dataclass * put _attn_forward and _ffn_forward logic in PhotonBlock's forward * renam LastLayer for FinalLayer * remove lora related code * rename vae_spatial_compression_ratio for vae_scale_factor * support prompt_embeds in call * move xattention conditionning out computation out of the denoising loop * add negative prompts * Use _import_structure for lazy loading * make quality + style * add pipeline test + corresponding fixes * utility function that determines the default resolution given the VAE * Refactor PhotonAttention to match Flux pattern * built-in RMSNorm * Revert accidental .gitignore change * parameter names match the standard diffusers conventions * renaming and remove unecessary attributes setting * Update docs/source/en/api/pipelines/photon.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * quantization example * added doc to toctree * Update docs/source/en/api/pipelines/photon.md Co-authored-by:
dg845 <58458699+dg845@users.noreply.github.com> * Add PhotonTransformer2DModel to TYPE_CHECKING imports * make fix-copies * Use Tuple instead of tuple Co-authored-by:
davidb <davidb@worker-10.soperator-worker-svc.soperator.svc.cluster.local> Co-authored-by:
David Briand <david@photoroom.com> Co-authored-by:
davidb <davidb@worker-8.soperator-worker-svc.soperator.svc.cluster.local> Co-authored-by:
sayakpaul <spsayakpaul@gmail.com>
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- 19 Jun, 2025 1 commit
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Aryan authored
update
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- 11 Apr, 2025 1 commit
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hlky authored
* HiDream Image --------- Co-authored-by:
github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by:
Aryan <contact.aryanvs@gmail.com> Co-authored-by:
Aryan <aryan@huggingface.co>
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- 11 Jul, 2024 1 commit
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Álvaro Somoza authored
* initial draft
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- 12 Jun, 2024 1 commit
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Dhruv Nair authored
* up * add sd3 * update * update * add tests * fix copies * fix docs * update * add dreambooth lora * add LoRA * update * update * update * update * import fix * update * Update src/diffusers/pipelines/stable_diffusion_3/pipeline_stable_diffusion_3.py Co-authored-by:
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- 25 Sep, 2023 2 commits
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Anh71me authored
* Fix type annotation on Scheduler.from_pretrained * Fix type annotation on PIL.Image
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Patrick von Platen authored
* [Doc builder] Ensure slow import for doc builder * Apply suggestions from code review * env for doc builder * fix more * [Diffusers] Set import to slow as env variable * fix docs * fix docs * Apply suggestions from code review * Apply suggestions from code review * fix docs * fix docs
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- 22 Sep, 2023 1 commit
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Pedro Cuenca authored
* support transformer_layers_per block in flax UNet * add support for text_time additional embeddings to Flax UNet * rename attention layers for VAE * add shape asserts when renaming attention layers * transpose VAE attention layers * add pipeline flax SDXL code [WIP] * continue add pipeline flax SDXL code [WIP] * cleanup * Working on JIT support Fixed prompt embedding shapes so they work in parallel mode. Assuming we always have both text encoders for now, for simplicity. * Fixing embeddings (untested) * Remove spurious line * Shard guidance_scale when jitting. * Decode images * Fix sharding * style * Refiner UNet can be loaded. * Refiner / img2img pipeline * Allow latent outputs from base and latent inputs in refiner This makes it possible to chain base + refiner without having to use the vae decoder in the base model, the vae encoder in the refiner, skipping conversions to/from PIL, and avoiding TPU <-> CPU memory copies. * Adapt to FlaxCLIPTextModelOutput * Update Flax XL pipeline to FlaxCLIPTextModelOutput * make fix-copies * make style * add euler scheduler * Fix import * Fix copies, comment unused code. * Fix SDXL Flax imports * Fix euler discrete begin * improve init import * finish * put discrete euler in init * fix flax euler * Fix more * make style * correct init * correct init * Temporarily remove FlaxStableDiffusionXLImg2ImgPipeline * correct pipelines * finish --------- Co-authored-by:
Martin Müller <martin.muller.me@gmail.com> Co-authored-by:
patil-suraj <surajp815@gmail.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com>
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- 11 Sep, 2023 1 commit
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Dhruv Nair authored
* initial commit * move modules to import struct * add dummy objects and _LazyModule * add lazy import to schedulers * clean up unused imports * lazy import on models module * lazy import for schedulers module * add lazy import to pipelines module * lazy import altdiffusion * lazy import audio diffusion * lazy import audioldm * lazy import consistency model * lazy import controlnet * lazy import dance diffusion ddim ddpm * lazy import deepfloyd * lazy import kandinksy * lazy imports * lazy import semantic diffusion * lazy imports * lazy import stable diffusion * move sd output to its own module * clean up * lazy import t2iadapter * lazy import unclip * lazy import versatile and vq diffsuion * lazy import vq diffusion * helper to fetch objects from modules * lazy import sdxl * lazy import txt2vid * lazy import stochastic karras * fix model imports * fix bug * lazy import * clean up * clean up * fixes for tests * fixes for tests * clean up * remove import of torch_utils from utils module * clean up * clean up * fix mistake import statement * dedicated modules for exporting and loading * remove testing utils from utils module * fixes from merge conflicts * Update src/diffusers/pipelines/kandinsky2_2/__init__.py * fix docs * fix alt diffusion copied from * fix check dummies * fix more docs * remove accelerate import from utils module * add type checking * make style * fix check dummies * remove torch import from xformers check * clean up error message * fixes after upstream merges * dummy objects fix * fix tests * remove unused module import --------- Co-authored-by:
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