- 24 Jun, 2024 1 commit
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Tolga Cangöz authored
* Fix typos & improve contributing page * `make style && make quality` * fix typos * Fix typo --------- Co-authored-by:Sayak Paul <spsayakpaul@gmail.com>
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- 21 Jun, 2024 1 commit
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Sayak Paul authored
* get rid of the legacy lora remnants and make our codebase lighter * fix depcrecated lora argument * fix * empty commit to trigger ci * remove print * empty
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- 19 Jun, 2024 1 commit
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王奇勋 authored
* sd3 controlnet --------- Co-authored-by:haofanwang <haofanwang.ai@gmail.com>
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- 18 Jun, 2024 4 commits
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Vasco Ramos authored
[SD3 Docs] Corrected title about loading model with T5 Corrected the documentation title to "Loading the single file checkpoint with T5" Previously, it incorrectly stated "Loading the single file checkpoint without T5" which contradicted the code snippet showing how to load the SD3 checkpoint with the T5 model
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Sayak Paul authored
* shift factor argument to tiny * remove shift factor rejigging from the sd3 docs
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MaoXianXin authored
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Álvaro Somoza authored
* tased3 docs * apply suggestion --------- Co-authored-by:
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- 17 Jun, 2024 1 commit
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AmosDinh authored
Update controlnet.md Syntax error pipe -> pipeline
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- 13 Jun, 2024 1 commit
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Dhruv Nair authored
* update * update
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- 12 Jun, 2024 3 commits
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Radamés Ajna authored
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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:
YiYi Xu <yixu310@gmail.com> * import fix 2 * update * Update src/diffusers/models/autoencoders/autoencoder_kl.py Co-authored-by:
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Jiwook Han authored
* translation about 3 documents into Korean * evaluation doc korean translation * _toctree.yml modify * doc title fix : philosopy->philosophy * Update docs/source/ko/conceptual/ethical_guidelines.md Co-authored-by:
Jihun Lim <31366038+heuristicwave@users.noreply.github.com> * Update docs/source/ko/conceptual/ethical_guidelines.md Co-authored-by:
Chulhwa (Evan) Han <cjfghk5697@ajou.ac.kr> * Update docs/source/ko/conceptual/evaluation.md Co-authored-by:
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- 06 Jun, 2024 3 commits
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Tolga Cangöz authored
* Refactor code to remove unnecessary calls to `to(torch_device)` * Refactor code to remove unnecessary calls to `to("cuda")` * Update pipeline_stable_diffusion_diffedit.py -
Steven Liu authored
* single file usage * edit
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Sayak Paul authored
* optimizations to the hunyuan dit docs. * Apply suggestions from code review Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/api/pipelines/hunyuandit.md Co-authored-by:
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- 05 Jun, 2024 2 commits
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Tolga Cangöz authored
* Fix typos * Trim trailing whitespaces * Remove a trailing whitespace * chore: Update MarigoldDepthPipeline checkpoint to prs-eth/marigold-lcm-v1-0 * Revert "chore: Update MarigoldDepthPipeline checkpoint to prs-eth/marigold-lcm-v1-0" This reverts commit fd742b30b4258106008a6af4d0dd4664904f8595. * pokemon -> naruto * `DPMSolverMultistep` -> `DPMSolverMultistepScheduler` * Improve Markdown stylization * Improve style * Improve style * Refactor pipeline variable names for consistency * up style
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Sayak Paul authored
* allow hunyuan dit to run under 6GB for GPU VRAM * add section in the docs/
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- 04 Jun, 2024 2 commits
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Sayak Paul authored
minor docs changes in hunyuandit
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Marçal Comajoan Cara authored
* Update transformer2d.md title For the other classes (e.g., UNet2DModel) the title of the documentation coincides with the name of the class, but that was not the case for Transformer2DModel. * Update model docs titles for consistency with class names
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- 03 Jun, 2024 1 commit
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XCL authored
* add hunyuandit doc * update hunyuandit doc * update hunyuandit 2d model * update toctree.yml for hunyuandit
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- 31 May, 2024 2 commits
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Anton Obukhov authored
* rename prs-eth/marigold-lcm-v1-0 into prs-eth/marigold-depth-lcm-v1-0 * update image paths in https://huggingface.co/datasets/huggingface/documentation-images to use main branch * fix relative paths to other diffusers pages * Update docs/source/en/using-diffusers/marigold_usage.md Co-authored-by:
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Sayak Paul authored
* init for patches * finish patched model. * continuous transformer * vectorized transformer2d. * style. * inits. * fix-copies. * introduce DiTTransformer2DModel. * fixes * use REMAPPING as suggested by @DN6 * better logging. * add pixart transformer model. * inits. * caption_channels. * attention masking. * fix use_additional_conditions. * remove print. * debug * flatten * fix: assertion for sigma * handle remapping for modeling_utils * add tests for dit transformer2d * quality * placeholder for pixart tests * pixart tests * add _no_split_modules * add docs. * check * check * check * check * fix tests * fix tests * move Transformer output to modeling_output * move errors better and bring back use_additional_conditions attribute. * add unnecessary things from DiT. * clean up pixart * fix remapping * fix device_map things in pixart2d. * replace Transformer2DModel with appropriate classes in dit, pixart tests * empty * legacy mixin classes./ * use a remapping dict for fetching class names. * change to specifc model types in the pipeline implementations. * move _fetch_remapped_cls_from_config to modeling_loading_utils.py * fix dependency problems. * add deprecation note.
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- 29 May, 2024 3 commits
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Steven Liu authored
* files and formats * fix callout * feedback * code sample * feedback
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Steven Liu authored
deepfloyd training Co-authored-by: -
Sayak Paul authored
move vqmodel to models.autoencoders.
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- 28 May, 2024 4 commits
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Steven Liu authored
* first draft * edits
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Steven Liu authored
* noise schedule * sigmas and zero snr * feedback * feedback
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Jiwook Han authored
fix typo in philosophy.md
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Álvaro Somoza authored
* initial doc * fix wrong LCM sentence * implement binary colormap without requiring matplotlib update section about Marigold for ControlNet update formatting of marigold_usage.md * fix indentation --------- Co-authored-by:anton <anton.obukhov@gmail.com>
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- 27 May, 2024 2 commits
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Anton Obukhov authored
* implement marigold depth and normals pipelines in diffusers core * remove bibtex * remove deprecations * remove save_memory argument * remove validate_vae * remove config output * remove batch_size autodetection * remove presets logic move default denoising_steps and processing_resolution into the model config make default ensemble_size 1 * remove no_grad * add fp16 to the example usage * implement is_matplotlib_available use is_matplotlib_available, is_scipy_available for conditional imports in the marigold depth pipeline * move colormap, visualize_depth, and visualize_normals into export_utils.py * make the denoising loop more lucid fix the outputs to always be 4d tensors or lists of pil images support a 4d input_image case attempt to support model_cpu_offload_seq move check_inputs into a separate function change default batch_size to 1, remove any logic to make it bigger implicitly * style * rename denoising_steps into num_inference_steps * rename input_image into image * rename input_latent into latents * remove decode_image change decode_prediction to use the AutoencoderKL.decode method * move clean_latent outside of progress_bar * refactor marigold-reusable image processing bits into MarigoldImageProcessor class * clean up the usage example docstring * make ensemble functions members of the pipelines * add early checks in check_inputs rename E into ensemble_size in depth ensembling * fix vae_scale_factor computation * better compatibility with torch.compile better variable naming * move export_depth_to_png to export_utils * remove encode_prediction * improve visualize_depth and visualize_normals to accept multi-dimensional data and lists remove visualization functions from the pipelines move exporting depth as 16-bit PNGs functionality from the depth pipeline update example docstrings * do not shortcut vae.config variables * change all asserts to raise ValueError * rename output_prediction_type to output_type * better variable names clean up variable deletion code * better variable names * pass desc and leave kwargs into the diffusers progress_bar implement nested progress bar for images and steps loops * implement scale_invariant and shift_invariant flags in the ensemble_depth function add scale_invariant and shift_invariant flags readout from the model config further refactor ensemble_depth support ensembling without alignment add ensemble_depth docstring * fix generator device placement checks * move encode_empty_text body into the pipeline call * minor empty text encoding simplifications * adjust pipelines' class docstrings to explain the added construction arguments * improve the scipy failure condition add comments improve docstrings change the default use_full_z_range to True * make input image values range check configurable in the preprocessor refactor load_image_canonical in preprocessor to reject unknown types and return the image in the expected 4D format of tensor and on right device support a list of everything as inputs to the pipeline, change type to PipelineImageInput implement a check that all input list elements have the same dimensions improve docstrings of pipeline outputs remove check_input pipeline argument * remove forgotten print * add prediction_type model config * add uncertainty visualization into export utils fix NaN values in normals uncertainties * change default of output_uncertainty to False better handle the case of an attempt to export or visualize none * fix `output_uncertainty=False` * remove kwargs fix check_inputs according to the new inputs of the pipeline * rename prepare_latent into prepare_latents as in other pipelines annotate prepare_latents in normals pipeline with "Copied from" annotate encode_image in normals pipeline with "Copied from" * move nested-capable `progress_bar` method into the pipelines revert the original `progress_bar` method in pipeline_utils * minor message improvement * fix cpu offloading * move colormap, visualize_depth, export_depth_to_16bit_png, visualize_normals, visualize_uncertainty to marigold_image_processing.py update example docstrings * fix missing comma * change torch.FloatTensor to torch.Tensor * fix importing of MarigoldImageProcessor * fix vae offloading fix batched image encoding remove separate encode_image function and use vae.encode instead * implement marigold's intial tests relax generator checks in line with other pipelines implement return_dict __call__ argument in line with other pipelines * fix num_images computation * remove MarigoldImageProcessor and outputs from import structure update tests * update docstrings * update init * update * style * fix * fix * up * up * up * add simple test * up * update expected np input/output to be channel last * move expand_tensor_or_array into the MarigoldImageProcessor * rewrite tests to follow conventions - hardcoded slices instead of image artifacts write more smoke tests * add basic docs. * add anton's contribution statement * remove todos. * fix assertion values for marigold depth slow tests * fix assertion values for depth normals. * remove print * support AutoencoderTiny in the pipelines * update documentation page add Available Pipelines section add Available Checkpoints section add warning about num_inference_steps * fix missing import in docstring fix wrong value in visualize_depth docstring * [doc] add marigold to pipelines overview * [doc] add section "usage examples" * fix an issue with latents check in the pipelines * add "Frame-by-frame Video Processing with Consistency" section * grammarly * replace tables with images with css-styled images (blindly) * style * print * fix the assertions. * take from the github runner. * take the slices from action artifacts * style. * update with the slices from the runner. * remove unnecessary code blocks. * Revert "[doc] add marigold to pipelines overview" This reverts commit a505165150afd8dab23c474d1a054ea505a56a5f. * remove invitation for new modalities * split out marigold usage examples * doc cleanup --------- Co-authored-by:
yiyixuxu <yixu310@gmail,com> Co-authored-by:
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Dhaivat Bhatt authored
* Add details about 1-stage implementation * Add details about 1-stage implementation
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- 24 May, 2024 3 commits
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Tolga Cangöz authored
* Fix typos * Fix `pipe.enable_model_cpu_offload()` usage * Fix cpu offloading * Update numbers
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Yue Wu authored
sampling bug fix in basic_training.md In the diffusers basic training tutorial, setting the manual seed argument (generator=torch.manual_seed(config.seed)) in the pipeline call inside evaluate() function rewinds the dataloader shuffling, leading to overfitting due to the model seeing same sequence of training examples after every evaluation call. Using generator=torch.Generator(device='cpu').manual_seed(config.seed) avoids this.
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Dhruv Nair authored
* update * update
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- 21 May, 2024 1 commit
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Steven Liu authored
* fix? * fix? * fix
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- 20 May, 2024 2 commits
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Junsong Chen authored
* 1. add doc for PixArtSigmaPipeline; --------- Co-authored-by:
Guillaume LEGENDRE <glegendre01@gmail.com> Co-authored-by:
Álvaro Somoza <asomoza@users.noreply.github.com> Co-authored-by:
Bagheera <59658056+bghira@users.noreply.github.com> Co-authored-by:
bghira <bghira@users.github.com> Co-authored-by:
Hyoungwon Cho <jhw9811@korea.ac.kr> Co-authored-by:
Tolga Cangöz <46008593+standardAI@users.noreply.github.com> Co-authored-by:
Philip Pham <phillypham@google.com>
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Jacob Marks authored
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- 13 May, 2024 1 commit
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Álvaro Somoza authored
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- 10 May, 2024 2 commits
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Mark Van Aken authored
* find & replace all FloatTensors to Tensor * apply formatting * Update torch.FloatTensor to torch.Tensor in the remaining files * formatting * Fix the rest of the places where FloatTensor is used as well as in documentation * formatting * Update new file from FloatTensor to Tensor
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Sayak Paul authored
* introduce videoprocessor. * fix quality * address yiyi's feedback * fix preprocess_video call. * video_processor -> image_processor * fix * fix more. * quality * image_processor -> video_processor * support List[List[PIL.Image.Image]] * change to video_processor. * documentation * Apply suggestions from code review * changes * remove print. * refactor video processor (part # 7776) (#7861) * update * update remove deprecate * Update src/diffusers/video_processor.py * update * Apply suggestions from code review * deprecate list of 5d for video and list of 4d for image + apply other feedbacks * up --------- Co-authored-by:
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