- 10 May, 2024 1 commit
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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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- 18 Mar, 2024 1 commit
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M. Tolga Cangöz authored
* Fix PyTorch's convention for inplace functions * Fix import structure in __init__.py and update config loading logic in test_config.py * Update configuration access * Fix typos * Trim trailing white spaces * Fix typo in logger name * Revert "Fix PyTorch's convention for inplace functions" This reverts commit f65dc4afcb57ceb43d5d06389229d47bafb10d2d. * Fix typo in step_index property description * Revert "Update configuration access" This reverts commit 8d44e870b8c1ad08802e3e904c34baeca1b598f8. * Revert "Fix import structure in __init__.py and update config loading logic in test_config.py" This reverts commit 2ad5e8bca25aede3b912da22bd57285b598fe171. * Fix typos * Fix typos * Fix typos * Fix a typo: tranform -> transform
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- 08 Feb, 2024 1 commit
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Sayak Paul authored
change to 2024
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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:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/loaders.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/loaders.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/wuerstchen/modeling_wuerstchen_prior.py * Update src/diffusers/loaders.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/loaders.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * add graident checkpoint support to prior * gradient_checkpointing * formatting * Update examples/wuerstchen/text_to_image/README.md Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update examples/wuerstchen/text_to_image/README.md Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update examples/wuerstchen/text_to_image/README.md Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update examples/wuerstchen/text_to_image/README.md Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update examples/wuerstchen/text_to_image/README.md Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update examples/wuerstchen/text_to_image/train_text_to_image_lora_prior.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update src/diffusers/loaders.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update examples/wuerstchen/text_to_image/train_text_to_image_prior.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * use default unet and text_encoder * fix test --------- Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
Pedro Cuenca <pedro@huggingface.co>
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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:Patrick von Platen <patrick.v.platen@gmail.com>
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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:
Patrick von Platen <patrick.v.platen@gmail.com> * use torch.lerp * use warp-diffusion org * clip_sample=False, * some refactoring * use model_v3_stage_c * c_cond size * use clip-bigG * allow stage b clip to be None * add dummy * würstchen scheduler * minor changes * set clip=None in the pipeline * fix attention mask * add attention_masks to text_encoder * make fix-copies * add back clip * add text_encoder * gen_text_encoder and tokenizer * fix import * updated pipeline test * undo changes to pipeline test * nip * fix typo * fix output name * set guidance_scale=0 and remove diffuze * fix doc strings * make style * nip * removed unused * initial docs * rename * toc * cleanup * remvoe test script * fix-copies * fix multi images * remove dup * remove unused modules * undo changes for debugging * no new line * remove dup conversion script * fix doc string * cleanup * pass default args * dup permute * fix some tests * fix prepare_latents * move Prior class to modules * offload only the text encoder and vqgan * fix resolution calculation for prior * nip * removed testing script * fix shape * fix argument to set_timesteps * do not change .gitignore * fix resolution calculations + readme * resolution calculation fix + readme * small fixes * Add combined pipeline * rename generator -> decoder * Update .gitignore Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * removed efficient_net * create combined WuerstchenPipeline * make arguments consistent with VQ model * fix var names * no need to return text_encoder_hidden_states * add latent_dim_scale to config * split model into its own file * add WuerschenPipeline to docs * remove unused latent_size * register latent_dim_scale * update script * update docstring * use Attention preprocessor * concat with normed input * fix-copies * add docs * fix test * fix style * add to cpu_offloaded_model * updated type * remove 1-line func * updated type * initial decoder test * formatting * formatting * fix autodoc link * num_inference_steps is int * remove comments * fix example in docs * Update src/diffusers/pipelines/wuerstchen/diffnext.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * rename layernorm to WuerstchenLayerNorm * rename DiffNext to WuerstchenDiffNeXt * added comment about MixingResidualBlock * move paella vq-vae to pipelines' folder * initial decoder test * increased test_float16_inference expected diff * self_attn is always true * more passing decoder tests * batch image_embeds * fix failing tests * set the correct dtype * relax inference test * update prior * added combined pipeline test * faster test * faster test * Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_combined.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * fix issues from review * update wuerstchen.md + change generator name * resolve issues * fix copied from usage and add back batch_size * fix API * fix arguments * fix combined test * Added timesteps argument + fixes * Update tests/pipelines/test_pipelines_common.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update tests/pipelines/wuerstchen/test_wuerstchen_prior.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_combined.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_combined.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_combined.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/wuerstchen/pipeline_wuerstchen_combined.py * up * Fix more * failing tests * up * up * correct naming * correct docs * correct docs * fix test params * correct docs * fix classifier free guidance * fix classifier free guidance * fix more * fix all * make tests faster --------- Co-authored-by:
Dominic Rampas <d6582533@gmail.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
Dominic Rampas <61938694+dome272@users.noreply.github.com>
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