Fixed issue using wrong prompts and seeds during enhance upscale and other enhance process, added functionality for inline Lora usage and compatible with wildcards, added support for inline aspect ratio, which is also compatible with wildcards, added wildcards processing fixes and improvements, such as deciding to process the wildcard inorder without going to the advanced section and modifying the use wildcards in order flag, this way you can have multiple wildcards in the prompt, some processed in order while others randomly, also you can decide from which row to start processing each wildcard, fixed issues of using worng prompts during enhance upscale or other enhance process when skipping generations (optimized the skip functionality), and probably much more but i can't remember 😀.
* feat: add remove_performance_lora method
* feat: use class PerformanceLoRA instead of strings in config
* refactor: cleanup flags, use __member__ to check if enums contains key
* feat: only filter lora of selected performance instead of all performance LoRAs
* fix: disable intermediate results for all restricted performances
too fast for Gradio, which becomes a bottleneck
* refactor: rename parse_json to to_json, rename parse_string to to_string
* feat: use speed steps as default instead of hardcoded 30
* feat: add method to_steps to Performance
* refactor: remove method ordinal_suffix, not needed anymore
* feat: only filter lora of selected performance instead of all performance LoRAs
both metadata and history log
* feat: do not filter LoRAs in metadata parser but rather in metadata load action
* feat: add performance loras to the end of the loras array
* fix: resolve circular dependency for unit tests
* feat: allow multiple matches for each token, optimize and extract method cleanup_prompt
* fix: update unit tests
* feat: ignore custom wildcards
* Revert "fix: use LF as line breaks for Docker entrypoint.sh (#2843)" (#2865)
False alarm, worked as intended before. Sorry for the fuzz.
This reverts commit d16a54edd6.
* feat: add VAE select
* feat: use different default label, add translation
* fix: do not reload model when VAE stays the same
* refactor: code cleanup
* feat: add metadata handling
* fix: load image number from preset (#2611)
* fix: add default_image_number to preset handling
* fix: use minimum image number of preset and config to prevent UI overflow
* fix: use correct base dimensions for outpaint mask padding (#2612)
* fix: add Civitai compatibility for LoRAs in a1111 metadata scheme by switching schema (#2615)
* feat: update sha256 generation functions
29be1da7cf/modules/hashes.py
* feat: add compatibility for LoRAs in a1111 metadata scheme
* feat: add backwards compatibility
* refactor: extract remove_special_loras
* fix: correctly apply LoRA weight for legacy schema
* docs: bump version number to 2.3.1, add changelog (#2616)
* feat:support download huggingface files from a mirror site
---------
Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
* Fix typo
* Scan wildcards recursively
Adds a method for getting the top-most occurrence of a given file in a directory tree
* Use already existing method for locating files
* Fix issue with incorrect files being loaded
When using the `name-filter` parameter in `get_model_filenames`, it doesn't guarantee the best match to be in the first index. This change adds a step to ensure the correct wildcard is being loaded.
* feat: make path for wildcards configurable, cache filenames on refresh files, rename button variable
* Fix formatting
---------
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
* Add docker files
* Add python precompiled cache file in the image
* Add Notes in docker.md
* Create docker-publish.yml
* Modify docker-compose.yml not to use the bind mount
* Update torch version
* Change --share to --listen
* Update torch version
* Change '--share' to '--listen`
* adjust code comments
* Update requirements-docker.txt
* chore: code cleanup
- default_model env var isn't necessary as model is included in default preset, same for speed
- ENV CMDARGS --listen is now synched with docker-compose.yml file
- remove
* Change entry_with_update.py to launch.py in entrypoint.sh
* Change CMD in Dockerfile
* Change default CMDARGS to --listen in Dockerfile
* Modify CMD in Dockerfile
* Fix docker-compose.yml
* Import files from models,outputs
* docs: change wording in docker.md, change git clone URL, add quotes to port mapping
* docs: remove docker publish github action, remove pre-built image from docs
* Modify modules versions for linux/arm64
* docs: update docker readme
---------
Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <dev@mash1t.de>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
* feat: add metadata logging for images
inspired by https://github.com/MoonRide303/Fooocus-MRE
* feat: add config and checkbox for save_metadata_to_images
* feat: add argument disable_metadata
* feat: add support for A1111 metadata schema
cf2772fab0/modules/processing.py (L672)
* feat: add model hash support for a1111
* feat: use resolved prompts with included expansion and styles for a1111 metadata
* fix: code cleanup and resolved prompt fixes
* feat: add config metadata_created_by
* fix: use stting isntead of quote wrap for A1111 created_by
* fix: correctlyy hide/show metadata schema on app start
* fix: do not generate hashes when arg --disable-metadata is used
* refactor: rename metadata_schema to metadata_scheme
* fix: use pnginfo "parameters" insteadf of "Comments"
see https://github.com/RupertAvery/DiffusionToolkit/issues/202 and cf2772fab0/modules/processing.py (L939)
* feat: add resolved prompts to metadata
* fix: use correct default value in metadata check for created_by
* wip: add metadata mapping, reading and writing
applying data after reading currently not functional for A1111
* feat: rename metadata tab and import button label
* feat: map basic information for scheme A1111
* wip: optimize handling for metadata in Gradio calls
* feat: add enums for Performance, Steps and StepsUOV
also move MetadataSchema enum to prevent circular dependency
* fix: correctly map resolution, use empty styles for A1111
* chore: code cleanup
* feat: add A1111 prompt style detection
only detects one style as Fooocus doesn't wrap {prompt} with the whole style, but has a separate prompt string for each style
* wip: add prompt style extraction for A1111 scheme
* feat: sort styles after metadata import
* refactor: use central flag for LoRA count
* refactor: use central flag for ControlNet image count
* fix: use correct LoRA mapping, add fallback for backwards compatibility
* feat: add created_by again
* feat: add prefix "Fooocus" to version
* wip: code cleanup, update todos
* fix: use correct order to read LoRA in meta parser
* wip: code cleanup, update todos
* feat: make sha256 with length 10 default
* feat: add lora handling to A1111 scheme
* feat: override existing LoRA values when importing, would cause images to differ
* fix: correctly extract prompt style when only prompt expansion is selected
* feat: allow model / LoRA loading from subfolders
* feat: code cleanup, do not queue metadata preview on image upload
* refactor: add flag for refiner_swap_method
* feat: add metadata handling for all non-img2img parameters
* refactor: code cleanup
* chore: use str as return type in calculate_sha256
* feat: add hash cache to metadata
* chore: code cleanup
* feat: add method get_scheme to Metadata
* fix: align handling for scheme Fooocus by removing lcm lora from json parsing
* refactor: add step before parsing to set data in parser
- add constructor for MetadataSchema class
- remove showable and copyable from log output
- add functional hash cache (model hashing takes about 5 seconds, only required once per model, using hash lazy loading)
* feat: sort metadata attributes before writing to image
* feat: add translations and hint for image prompt parameters
* chore: check and remove ToDo's
* refactor: merge metadata.py into meta_parser.py
* fix: add missing refiner in A1111 parse_json
* wip: add TODO for ultiline prompt style resolution
* fix: remove sorting for A1111, change performance key position
fixes https://github.com/lllyasviel/Fooocus/pull/1940#issuecomment-1924444633
* fix: add workaround for multiline prompts
* feat: add sampler mapping
* feat: prevent config reset by renaming metadata_scheme to match config options
* chore: remove remaining todos after analysis
refiner is added when set
restoring multiline prompts has been resolved by using separate parameters "raw_prompt" and "raw_negative_prompt"
* chore: specify too broad exception types
* feat: add mapping for _gpu samplers to cpu samplers
gpu samplers are less deterministic than cpu but in general similar, see https://www.reddit.com/r/comfyui/comments/15hayzo/comment/juqcpep/
* feat: add better handling for image import with empty metadata
* fix: parse adaptive_cfg as float instead of string
* chore: loosen strict type for parse_json, fix indent
* chore: make steps enums more strict
* feat: only override steps if metadata value is not in steps enum or in steps enum and performance is not the same
* fix: handle empty strings in metadata
e.g. raw negative prompt when none is set
* Add ability to load checkpoints and loras from multiple locations
* Found another location a default path is required
* feat: use array as default
---------
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
* add suffix ordinals with lambda
* delay importing of modules.config (#2195)
* refactor: use easier to read version to find matching ordinal suffix
---------
Co-authored-by: rsl8 <138326583+rsl8@users.noreply.github.com>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
### 1.0.16
* Implemented "output" folder for saving user results.
* Ignored cv2 errors when preview fails.
* Mentioned future AMD support in Readme.
* Created this log.
Ali Ghalel
Manuel Schmid
Manuel Schmid
xhoxye
cantor-set
delta_lt_0
Cruxial
whitehara
dooglewoogle
Manuel Schmid
hisk2323
lllyasviel
MoonRide303