"docs/source/vscode:/vscode.git/clone" did not exist on "3d8377062c82cca2bf9f8591ba16f000c1e84e9e"
  1. 30 Jun, 2023 1 commit
    • Steven Liu's avatar
      [docs] Model API (#3562) · 174dcd69
      Steven Liu authored
      * add modelmixin and unets
      
      * remove old model page
      
      * minor fixes
      
      * fix unet2dcondition
      
      * add vqmodel and autoencoderkl
      
      * add rest of models
      
      * fix autoencoderkl path
      
      * fix toctree
      
      * fix toctree again
      
      * apply feedback
      
      * apply feedback
      
      * fix copies
      
      * fix controlnet copy
      
      * fix copies
      174dcd69
  2. 17 Apr, 2023 1 commit
  3. 11 Apr, 2023 1 commit
    • Patrick von Platen's avatar
      Fix config prints and save, load of pipelines (#2849) · 8b451eb6
      Patrick von Platen authored
      * [Config] Fix config prints and save, load
      
      * Only use potential nn.Modules for dtype and device
      
      * Correct vae image processor
      
      * make sure in_channels is not accessed directly
      
      * make sure in channels is only accessed via config
      
      * Make sure schedulers only access config attributes
      
      * Make sure to access config in SAG
      
      * Fix vae processor and make style
      
      * add tests
      
      * uP
      
      * make style
      
      * Fix more naming issues
      
      * Final fix with vae config
      
      * change more
      8b451eb6
  4. 28 Mar, 2023 1 commit
  5. 21 Mar, 2023 1 commit
  6. 06 Mar, 2023 1 commit
  7. 01 Mar, 2023 1 commit
  8. 30 Dec, 2022 1 commit
  9. 13 Dec, 2022 1 commit
  10. 14 Nov, 2022 1 commit
    • Nathan Lambert's avatar
      Add UNet 1d for RL model for planning + colab (#105) · 7c5fef81
      Nathan Lambert authored
      
      
      * re-add RL model code
      
      * match model forward api
      
      * add register_to_config, pass training tests
      
      * fix tests, update forward outputs
      
      * remove unused code, some comments
      
      * add to docs
      
      * remove extra embedding code
      
      * unify time embedding
      
      * remove conv1d output sequential
      
      * remove sequential from conv1dblock
      
      * style and deleting duplicated code
      
      * clean files
      
      * remove unused variables
      
      * clean variables
      
      * add 1d resnet block structure for downsample
      
      * rename as unet1d
      
      * fix renaming
      
      * rename files
      
      * add get_block(...) api
      
      * unify args for model1d like model2d
      
      * minor cleaning
      
      * fix docs
      
      * improve 1d resnet blocks
      
      * fix tests, remove permuts
      
      * fix style
      
      * add output activation
      
      * rename flax blocks file
      
      * Add Value Function and corresponding example script to Diffuser implementation (#884)
      
      * valuefunction code
      
      * start example scripts
      
      * missing imports
      
      * bug fixes and placeholder example script
      
      * add value function scheduler
      
      * load value function from hub and get best actions in example
      
      * very close to working example
      
      * larger batch size for planning
      
      * more tests
      
      * merge unet1d changes
      
      * wandb for debugging, use newer models
      
      * success!
      
      * turns out we just need more diffusion steps
      
      * run on modal
      
      * merge and code cleanup
      
      * use same api for rl model
      
      * fix variance type
      
      * wrong normalization function
      
      * add tests
      
      * style
      
      * style and quality
      
      * edits based on comments
      
      * style and quality
      
      * remove unused var
      
      * hack unet1d into a value function
      
      * add pipeline
      
      * fix arg order
      
      * add pipeline to core library
      
      * community pipeline
      
      * fix couple shape bugs
      
      * style
      
      * Apply suggestions from code review
      Co-authored-by: default avatarNathan Lambert <nathan@huggingface.co>
      
      * update post merge of scripts
      
      * add mdiblock / outblock architecture
      
      * Pipeline cleanup (#947)
      
      * valuefunction code
      
      * start example scripts
      
      * missing imports
      
      * bug fixes and placeholder example script
      
      * add value function scheduler
      
      * load value function from hub and get best actions in example
      
      * very close to working example
      
      * larger batch size for planning
      
      * more tests
      
      * merge unet1d changes
      
      * wandb for debugging, use newer models
      
      * success!
      
      * turns out we just need more diffusion steps
      
      * run on modal
      
      * merge and code cleanup
      
      * use same api for rl model
      
      * fix variance type
      
      * wrong normalization function
      
      * add tests
      
      * style
      
      * style and quality
      
      * edits based on comments
      
      * style and quality
      
      * remove unused var
      
      * hack unet1d into a value function
      
      * add pipeline
      
      * fix arg order
      
      * add pipeline to core library
      
      * community pipeline
      
      * fix couple shape bugs
      
      * style
      
      * Apply suggestions from code review
      
      * clean up comments
      
      * convert older script to using pipeline and add readme
      
      * rename scripts
      
      * style, update tests
      
      * delete unet rl model file
      
      * remove imports in src
      Co-authored-by: default avatarNathan Lambert <nathan@huggingface.co>
      
      * Update src/diffusers/models/unet_1d_blocks.py
      
      * Update tests/test_models_unet.py
      
      * RL Cleanup v2 (#965)
      
      * valuefunction code
      
      * start example scripts
      
      * missing imports
      
      * bug fixes and placeholder example script
      
      * add value function scheduler
      
      * load value function from hub and get best actions in example
      
      * very close to working example
      
      * larger batch size for planning
      
      * more tests
      
      * merge unet1d changes
      
      * wandb for debugging, use newer models
      
      * success!
      
      * turns out we just need more diffusion steps
      
      * run on modal
      
      * merge and code cleanup
      
      * use same api for rl model
      
      * fix variance type
      
      * wrong normalization function
      
      * add tests
      
      * style
      
      * style and quality
      
      * edits based on comments
      
      * style and quality
      
      * remove unused var
      
      * hack unet1d into a value function
      
      * add pipeline
      
      * fix arg order
      
      * add pipeline to core library
      
      * community pipeline
      
      * fix couple shape bugs
      
      * style
      
      * Apply suggestions from code review
      
      * clean up comments
      
      * convert older script to using pipeline and add readme
      
      * rename scripts
      
      * style, update tests
      
      * delete unet rl model file
      
      * remove imports in src
      
      * add specific vf block and update tests
      
      * style
      
      * Update tests/test_models_unet.py
      Co-authored-by: default avatarNathan Lambert <nathan@huggingface.co>
      
      * fix quality in tests
      
      * fix quality style, split test file
      
      * fix checks / tests
      
      * make timesteps closer to main
      
      * unify block API
      
      * unify forward api
      
      * delete lines in examples
      
      * style
      
      * examples style
      
      * all tests pass
      
      * make style
      
      * make dance_diff test pass
      
      * Refactoring RL PR (#1200)
      
      * init file changes
      
      * add import utils
      
      * finish cleaning files, imports
      
      * remove import flags
      
      * clean examples
      
      * fix imports, tests for merge
      
      * update readmes
      
      * hotfix for tests
      
      * quality
      
      * fix some tests
      
      * change defaults
      
      * more mps test fixes
      
      * unet1d defaults
      
      * do not default import experimental
      
      * defaults for tests
      
      * fix tests
      
      * fix-copies
      
      * fix
      
      * changes per Patrik's comments (#1285)
      
      * changes per Patrik's comments
      
      * update conversion script
      
      * fix renaming
      
      * skip more mps tests
      
      * last test fix
      
      * Update examples/rl/README.md
      Co-authored-by: default avatarBen Glickenhaus <benglickenhaus@gmail.com>
      7c5fef81
  11. 25 Oct, 2022 2 commits