- 16 Sep, 2024 1 commit
-
-
suzukimain authored
* [docs] Replace runwayml/stable-diffusion-v1-5 with Lykon/dreamshaper-8 Updated documentation as runwayml/stable-diffusion-v1-5 has been removed from Huggingface. * Update docs/source/en/using-diffusers/inpaint.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Replace with stable-diffusion-v1-5/stable-diffusion-v1-5 * Update inpaint.md --------- Co-authored-by:
-
- 05 Jun, 2024 1 commit
-
-
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
-
- 18 Jul, 2023 1 commit
-
-
Sayak Paul authored
* add: controlnet sdxl. * modifications to controlnet. * run styling. * add: __init__.pys * incorporate https://github.com/huggingface/diffusers/pull/4019 changes. * run make fix-copies. * resize the conditioning images. * remove autocast. * run styling. * disable autocast. * debugging * device placement. * back to autocast. * remove comment. * save some memory by reusing the vae and unet in the pipeline. * apply styling. * Allow low precision sd xl * finish * finish * changes to accommodate the improved VAE. * modifications to how we handle vae encoding in the training. * make style * make existing controlnet fast tests pass. * change vae checkpoint cli arg. * fix: vae pretrained paths. * fix: steps in get_scheduler(). * debugging. * debugging./ * fix: weight conversion. * add: docs. * add: limited tests./ * add: datasets to the requirements. * update docstrings and incorporate the usage of watermarking. * incorporate fix from #4083 * fix watermarking dependency handling. * run make-fix-copies. * Empty-Commit * Update requirements_sdxl.txt * remove vae upcasting part. * Apply suggestions from code review Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * run make style * run make fix-copies. * disable suppot for multicontrolnet. * Apply suggestions from code review Co-authored-by:
-
- 18 Apr, 2023 1 commit
-
-
Sayak Paul authored
* feat: verfication of multi-gpu support for select examples. * add: multi-gpu training sections to the relvant doc pages.
-
- 12 Apr, 2023 1 commit
-
-
Andreas Steiner authored
* WIP controlnet training - bugfix --streaming - bugfix running report_to!='wandb' - adds memory profile before validation * Adds final logging statement. * Sets train epochs to 11. Looking at a longer ~16ep run, we see only good validation images after ~11ep: https://wandb.ai/andsteing/controlnet_fill50k/runs/3j2hx6n8 * Removes --logging_dir (it's not used). * Adds --profile flags. * Updates --output_dir=runs/fill-circle-{timestamp}. * Compute mean of `train_metrics`. Previously `train_metrics[-1]` was logged, resulting in very bumpy train metrics. * Improves logging a bit. - adds l2_grads gradient norm logging - adds steps_per_sec - sets walltime as x coordinate of train/step - logs controlnet_params config * Adds --ccache (doesn't really help though). * minor fix in controlnet flax example (#2986) * fix the error when push_to_hub but not log validation * contronet_from_pt & controlnet_revision * add intermediate checkpointing to the guide * Bugfix --profile_steps * Sets `RACKER_PROJECT_NAME='controlnet_fill50k'`. * Logs fractional epoch. * Adds relative `walltime` metric. * Adds `StepTraceAnnotation` and uses `global_step` insetad of `step`. * Applied `black`. * Streamlines commands in README a bit. * Removes `--ccache`. This makes only a very small difference (~1 min) with this model size, so removing the option introduced in cdb3cc. * Re-ran `black`. * Update examples/controlnet/README.md Co-authored-by:
Sayak Paul <spsayakpaul@gmail.com> * Converts spaces to tab. * Removes repeated args. * Skips first step (compilation) in profiling * Updates README with profiling instructions. * Unifies tabs/spaces in README. * Re-ran style & quality. --------- Co-authored-by:
-
- 10 Apr, 2023 1 commit
-
-
YiYi Xu authored
* add wandb team and min-snr loss * make style * apply feedbacks
-
- 06 Apr, 2023 1 commit
-
-
YiYi Xu authored
* fix the error when push_to_hub but not log validation * contronet_from_pt & controlnet_revision * add intermediate checkpointing to the guide
-
- 29 Mar, 2023 1 commit
-
-
Sayak Paul authored
* improve stable unclip doc. * feat: add streaming support to controlnet flax training script. * fix: CLI arg. * fix: torch dataloader shuffle setting. * fix: dataset length. * fix: wandb config. * fix: steps_per_epoch in the training loop. * add: entry about streaming in the readme * get column names from iterable dataset + fix final logging --------- Co-authored-by:yiyixuxu <yixu310@gmail.com>
-
- 28 Mar, 2023 1 commit
-
-
YiYi Xu authored
* add train_controlnet_flax --------- Co-authored-by:
-
- 15 Mar, 2023 1 commit
-
-
Henrik Forstén authored
* Controlnet training code initial commit Works with circle dataset: https://github.com/lllyasviel/ControlNet/blob/main/docs/train.md * Script for adding a controlnet to existing model * Fix control image transform Control image should be in 0..1 range. * Add license header and remove more unused configs * controlnet training readme * Allow nonlocal model in add_controlnet.py * Formatting * Remove unused code * Code quality * Initialize controlnet in training script * Formatting * Address review comments * doc style * explicit constructor args and submodule names * hub dataset NOTE - not tested * empty prompts * add conditioning image * rename * remove instance data dir * image_transforms -> -1,1 . conditioning_image_transformers -> 0, 1 * nits * remove local rank config I think this isn't necessary in any of our training scripts * validation images * proportion_empty_prompts typo * weight copying to controlnet bug * call log validation fix * fix * gitignore wandb * fix progress bar and resume from checkpoint iteration * initial step fix * log multiple images * fix * fixes * tracker project name configurable * misc * add controlnet requirements.txt * update docs * image labels * small fixes * log validation using existing models for pipeline * fix for deepspeed saving * memory usage docs * Update examples/controlnet/train_controlnet.py Co-authored-by:
William Berman <WLBberman@gmail.com> Co-authored-by:
-
