"docs/vscode:/vscode.git/clone" did not exist on "cc0d1beb2a089f75d5d50c9ba727514e23442622"
- 20 Dec, 2023 1 commit
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Beinsezii authored
* EulerAncestral add `rescale_betas_zero_snr` Uses same infinite sigma fix from EulerDiscrete. Interestingly the ancestral version had the opposite problem: too much contrast instead of too little. * UT for EulerAncestral `rescale_betas_zero_snr` * EulerAncestral upcast samples during step() It helps this scheduler too, particularly when the model is using bf16. While the noise dtype is still the model's it's automatically upcasted for the add so all it affects is determinism. --------- Co-authored-by:Sayak Paul <spsayakpaul@gmail.com>
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- 15 Dec, 2023 1 commit
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Patrick von Platen authored
* correct * Apply suggestions from code review * make style
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- 07 Dec, 2023 2 commits
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YiYi Xu authored
* fix * copies --------- Co-authored-by:yiyixuxu <yixu310@gmail,com>
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Beinsezii authored
* EulerDiscreteScheduler add `rescale_betas_zero_snr`
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- 06 Dec, 2023 4 commits
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Ian authored
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Lucain authored
* Harmonize HF environment variables + deprecate use_auth_token * fix import * fix
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Patrick von Platen authored
* [Euler Discrete] Fix sigma * make style
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Sayak Paul authored
* debug * from step * print * turn sigma a list * make str * init_noise_sigma * comment * remove prints * feat: introduce fused projections * change to a better name * no grad * device. * device * dtype * okay * print * more print * fix: unbind -> split * fix: qkv >-> k * enable disable * apply attention processor within the method * attn processors * _enable_fused_qkv_projections * remove print * add fused projection to vae * add todos. * add: documentation and cleanups. * add: test for qkv projection fusion. * relax assertions. * relax further * fix: docs * fix-copies * correct error message. * Empty-Commit * better conditioning on disable_fused_qkv_projections * check * check processor * bfloat16 computation. * check latent dtype * style * remove copy temporarily * cast latent to bfloat16 * fix: vae -> self.vae * remove print. * add _change_to_group_norm_32 * comment out stuff that didn't work * Apply suggestions from code review Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * reflect patrick's suggestions. * fix imports * fix: disable call. * fix more * fix device and dtype * fix conditions. * fix more * Apply suggestions from code review Co-authored-by:
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- 01 Dec, 2023 1 commit
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YiYi Xu authored
* fix dpm * all scheulers
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- 29 Nov, 2023 1 commit
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Suraj Patil authored
* begin model * finish blocks * add_embedding * addition_time_embed_dim * use TimestepEmbedding * fix temporal res block * fix time_pos_embed * fix add_embedding * add conversion script * fix model * up * add new resnet blocks * make forward work * return sample in original shape * fix temb shape in TemporalResnetBlock * add spatio temporal transformers * add vae blocks * fix blocks * update * update * fix shapes in Alphablender and add time activation in res blcok * use new blocks * style * fix temb shape * fix SpatioTemporalResBlock * reuse TemporalBasicTransformerBlock * fix TemporalBasicTransformerBlock * use TransformerSpatioTemporalModel * fix TransformerSpatioTemporalModel * fix time_context dim * clean up * make temb optional * add blocks * rename model * update conversion script * remove UNetMidBlockSpatioTemporal * add in init * remove unused arg * remove unused arg * remove more unsed args * up * up * check for None * update vae * update up/mid blocks for decoder * begin pipeline * adapt scheduler * add guidance scalings * fix norm eps in temporal transformers * add temporal autoencoder * make pipeline run * fix frame decodig * decode in float32 * decode n frames at a time * pass decoding_t to decode_latents * fix decode_latents * vae encode/decode in fp32 * fix dtype in TransformerSpatioTemporalModel * type image_latents same as image_embeddings * allow using differnt eps in temporal block for video decoder * fix default values in vae * pass num frames in decode * switch spatial to temporal for mixing in VAE * fix num frames during split decoding * cast alpha to sample dtype * fix attention in MidBlockTemporalDecoder * fix typo * fix guidance_scales dtype * fix missing activation in TemporalDecoder * skip_post_quant_conv * add vae conversion * style * take guidance scale as input * up * allow passing PIL to export_video * accept fps as arg * add pipeline and vae in init * remove hack * use AutoencoderKLTemporalDecoder * don't scale image latents * add unet tests * clean up unet * clean TransformerSpatioTemporalModel * add slow svd test * clean up * make temb optional in Decoder mid block * fix norm eps in TransformerSpatioTemporalModel * clean up temp decoder * clean up * clean up * use c_noise values for timesteps * use math for log * update * fix copies * doc * upcast vae * update forward pass for gradient checkpointing * make added_time_ids is tensor * up * fix upcasting * remove post quant conv * add _resize_with_antialiasing * fix _compute_padding * cleanup model * more cleanup * more cleanup * more cleanup * remove freeu * remove attn slice * small clean * up * up * remove extra step kwargs * remove eta * remove dropout * remove callback * remove merge factor args * clean * clean up * move to dedicated folder * remove attention_head_dim * docstr and small fix * update unet doc strings * rename decoding_t * correct linting * store c_skip and c_out * cleanup * clean TemporalResnetBlock * more cleanup * clean up vae * clean up * begin doc * more cleanup * up * up * doc * Improve * better naming * better naming * better naming * better naming * better naming * better naming * better naming * better naming * Apply suggestions from code review * Default chunk size to None * add example * Better * Apply suggestions from code review * update doc * Update src/diffusers/pipelines/stable_diffusion_video/pipeline_stable_diffusion_video.py Co-authored-by:
Dhruv Nair <dhruv.nair@gmail.com> Co-authored-by:
apolinário <joaopaulo.passos@gmail.com>
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- 27 Nov, 2023 2 commits
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dg845 authored
* Add custom timesteps support to LCMScheduler. * Add custom timesteps support to StableDiffusionPipeline. * Add custom timesteps support to StableDiffusionXLPipeline. * Add custom timesteps support to remaining Stable Diffusion pipelines which support LCMScheduler (img2img, inpaint). * Add custom timesteps support to remaining Stable Diffusion XL pipelines which support LCMScheduler (img2img, inpaint). * Add custom timesteps support to StableDiffusionControlNetPipeline. * Add custom timesteps support to T21 Stable Diffusion (XL) Adapters. * Clean up Stable Diffusion inpaint tests. * Manually add support for custom timesteps to AltDiffusion pipelines since make fix-copies doesn't appear to work correctly (it deletes the whole pipeline). * make style * Refactor pipeline timestep handling into the retrieve_timesteps function.
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Aryan V S authored
* deprecated: KarrasVeScheduler, ScoreSdeVpScheduler * delete tests relevant to deprecated schedulers * chore: run make style * fix: import error caused due to incorrect _import_structure after deprecation * fix: ScoreSdeVpScheduler was not importable from diffusers * remove import added by assumption * Update src/diffusers/schedulers/__init__.py as suggested by @patrickvonplaten Co-authored-by:
YiYi Xu <yixu310@gmail.com> --------- Co-authored-by:
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- 20 Nov, 2023 2 commits
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dg845 authored
* Change LCMScheduler.set_timesteps to pick more evenly spaced inference timesteps. * Change inference_indices implementation to better match previous behavior. * Add num_inference_steps=26 test case to test_inference_steps. * run CI --------- Co-authored-by:patil-suraj <surajp815@gmail.com>
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Kashif Rasul authored
* ruff format * not need to use doc-builder's black styling as the doc is styled in ruff * make fix-copies * comment * use run_ruff
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- 14 Nov, 2023 1 commit
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Patrick von Platen authored
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- 09 Nov, 2023 1 commit
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Will Berman authored
* consistency decoder * rename * Apply suggestions from code review Co-authored-by:
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- 07 Nov, 2023 1 commit
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dg845 authored
* Refactor LCMScheduler.step such that prev_sample == denoised at the last timestep in the schedule. * Make timestep scaling when calculating boundary conditions configurable. * Reparameterize timestep_scaling to be a multiplicative rather than division scaling. * make style * fix dtype conversion * make style --------- Co-authored-by:
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- 02 Nov, 2023 1 commit
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Patrick von Platen authored
* [LCM] Clean up implementations * Add all * correct more * correct more * finish * up
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- 31 Oct, 2023 1 commit
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TimothyAlexisVass authored
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- 30 Oct, 2023 1 commit
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Cheng Lu authored
* stabilize dpmpp for sdxl by using euler at the final step * add lu's uniform logsnr time steps * add test * fix check_copies * fix tests --------- Co-authored-by:
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- 24 Oct, 2023 1 commit
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dg845 authored
* initial commit for LatentConsistencyModelPipeline and LCMScheduler based on the community pipeline * Add callback and freeu support. * apply suggestions from review * Clean up LCMScheduler * Remove timeindex argument to LCMScheduler.step. * Add support for clipping or thresholding the predicted original sample. * Remove unused methods and arguments in LCMScheduler. * Improve comment about (lack of) negative prompt support. * Change input guidance_scale to match the StableDiffusionPipeline (Imagen) CFG formulation. * Move lcm_origin_steps from pipeline __call__ to LCMScheduler.__init__/config (as origin_steps). * Fix typo when clipping/thresholding in LCMScheduler. * Add some initial LCMScheduler tests. * add type annotations from review * Fix type annotation bug. * Override test_add_noise_device in LCMSchedulerTest since hardcoded timesteps doesn't work under default settings. * Add generator argument pipeline prepare_latents call. * Cast LCMScheduler.timesteps to long in set_timesteps. * Add onestep and multistep full loop scheduler tests. * Set default height/width to None and don't hardcode guidance scale embedding dim. * Add initial LatentConsistencyPipeline fast and slow tests. * Add initial documentation for LatentConsistencyModelPipeline and LCMScheduler. * Make remaining failing fast tests pass. * make style * Make original_inference_steps configurable from pipeline __call__ again. * make style * Remove guidance_rescale arg from pipeline __call__ since LCM currently doesn't support CFG. * Make LCMScheduler defaults match config of LCM_Dreamshaper_v7 checkpoint. * Fix LatentConsistencyPipeline slow tests and add dummy expected slices. * Add checks for original_steps in LCMScheduler.set_timesteps. * make fix-copies * Improve LatentConsistencyModelPipeline docs. * Apply suggestions from code review Co-authored-by:
Aryan V S <avs050602@gmail.com> * Apply suggestions from code review Co-authored-by:
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- 16 Oct, 2023 1 commit
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Kashif Rasul authored
* initial script * formatting * prior trainer wip * add efficient_net_encoder * add CLIPTextModel * add prior ema support * optimizer * fix typo * add dataloader * prompt_embeds and image_embeds * intial training loop * fix output_dir * fix add_noise * accelerator check * make effnet_transforms dynamic * fix training loop * add validation logging * use loaded text_encoder * use PreTrainedTokenizerFast * load weigth from pickle * save_model_card * remove unused file * fix typos * save prior pipeilne in its own folder * fix imports * fix pipe_t2i * scale image_embeds * remove snr_gamma * format * initial lora prior training * log_validation and save * initial gradient working * remove save/load hooks * set set_attn_processor on prior_prior * add lora script * typos * use LoraLoaderMixin for prior pipeline * fix usage * make fix-copies * yse repo_id * write_lora_layers is a staitcmethod * use defualts * fix defaults * undo * Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_prior.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update examples/wuerstchen/text_to_image/README.md Co-authored-by:
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- 09 Oct, 2023 1 commit
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Jake Vanderplas authored
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- 03 Oct, 2023 1 commit
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Patrick von Platen authored
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- 02 Oct, 2023 2 commits
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Patrick von Platen authored
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Leng Yue authored
* Update Unipc einsum to support 1D and 3D diffusion. * Add unittest * Update unittest & edge case * Fix unittest * Fix testing_utils.py * Fix unittest file --------- Co-authored-by:
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- 29 Sep, 2023 2 commits
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Patrick von Platen authored
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Seunghyeon Kim authored
* fix ddim inverse scheduler * update test of ddim inverse scheduler * update test of pix2pix_zero * update test of diffedit * fix typo --------- Co-authored-by:
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- 26 Sep, 2023 1 commit
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Pedro Cuenca authored
* timestep_spacing for FlaxDPMSolverMultistepScheduler * Style
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- 25 Sep, 2023 3 commits
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Patrick von Platen authored
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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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- 23 Sep, 2023 1 commit
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YiYi Xu authored
* remove to _device() for sigmas * update add_noise to use simgas --------- Co-authored-by:
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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:
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- 21 Sep, 2023 1 commit
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YiYi Xu authored
--------- Co-authored-by:
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- 19 Sep, 2023 1 commit
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YiYi Xu authored
--------- Co-authored-by:
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- 14 Sep, 2023 1 commit
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YiYi Xu authored
Co-authored-by:
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- 12 Sep, 2023 1 commit
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Patrick von Platen authored
* [Utils] Correct custom init sort * [Utils] Correct custom init sort * [Utils] Correct custom init sort * add type checking * fix custom init sort * fix test * fix tests --------- Co-authored-by:
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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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- 06 Sep, 2023 1 commit
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Kashif Rasul authored
* initial * initial * added initial convert script for paella vqmodel * initial wuerstchen pipeline * add LayerNorm2d * added modules * fix typo * use model_v2 * embed clip caption amd negative_caption * fixed name of var * initial modules in one place * WuerstchenPriorPipeline * inital shape * initial denoising prior loop * fix output * add WuerstchenPriorPipeline to __init__.py * use the noise ratio in the Prior * try to save pipeline * save_pretrained working * Few additions * add _execution_device * shape is int * fix batch size * fix shape of ratio * fix shape of ratio * fix output dataclass * tests folder * fix formatting * fix float16 + started with generator * Update pipeline_wuerstchen.py * removed vqgan code * add WuerstchenGeneratorPipeline * fix WuerstchenGeneratorPipeline * fix docstrings * fix imports * convert generator pipeline * fix convert * Work on Generator Pipeline. WIP * Pipeline works with our diffuzz code * apply scale factor * removed vqgan.py * use cosine schedule * redo the denoising loop * Update src/diffusers/models/resnet.py Co-authored-by:
Dominic Rampas <d6582533@gmail.com> Co-authored-by:
Dominic Rampas <61938694+dome272@users.noreply.github.com>
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