adapted code from https://github.com/comfyanonymous/ComfyUI/pull/3370
TODO: check if virtual scheduler tcd is needed for using sampling_base ModelSamplingDiscreteDistilled or if it's better to use sgm_uniform directly without patching
* Update async_worker.py
* Update private_logger.py
* refactor: only show full prompt details in logs, exclude from image metadata
---------
Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <dev@mash1t.de>
* 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 problem
1. In partial redrawing, when refiner is empty, enable use_synthetic_refiner. The default switching timing of 0.5 is too early, which is now modified to SDXL default of 0.8.
2. When using custom steps, the calculation of switching timing is wrong. Now it is modified to calculate "steps x timing" after custom steps are used.
* fix: parse width and height as int when applying metadata (#2452)
fixes an issue with A1111 metadata scheme where width and height are strings after splitting resolution
* fix: do not attempt to remove non-existing image grid file (#2456)
image grid is actually not an image here but a numpy array, as the grid isn't saved by default
* feat: add troubleshooting guide to bug report template again (#2489)
---------
Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
* feat: add metadata hint to history log
* feat: add actual metadata_scheme to log instead of only boolean
* feat: add steps to log if they were overridden
* fix: pass copy of metadata
prevents LoRA file extension removal in history log caused by passing reference to meta_parser fooocus scheme
* feature: added flag, config and ui update for image extension change #1789
* moved function to config module
* moved image extension to webui via async worker. Passing as parameter to log and get_current_html_path functions per feedback
* check flag before displaying image extension radio button
* disabled if image log flag is passed in
* fix: add missing image_extension parameter to log call
* refactor: change label
* feat: add webp to image_extensions
supported image extemsions: see https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html
* feat: use consistent file name in gradio
returns and uses filepaths instead of numpy image by saving to temp dir
uses double the temp dir file storage on disk as it saves to temp dir and gradio temp dir when displaying the image, but reuses logged output image
* feat: delete temp images after yielding to gradio
* feat: use args temp path if given
* chore: code cleanup, remove redundant if statement
* feat: always show image_extension element
this is now possible due to image extension support in gradio via https://github.com/lllyasviel/Fooocus/pull/1932
* refactor: rename image_extension to image_file_extension
* feat: use optimized jpg parameters when saving the image
quality=95
optimize=True
progressive=True
* refactor: rename image_file_extension to output_format
* feat: add exif handling
* refactor: code cleanup, remove items from metadata output
---------
Co-authored-by: Manuel Schmid <dev@mash1t.de>
Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
Co-authored by: eddyizm <wtfisup@hotmail.com>
* 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
* feat: use consistent file name in gradio
returns and uses filepaths instead of numpy image by saving to temp dir
uses double the temp dir file storage on disk as it saves to temp dir and gradio temp dir when displaying the image, but reuses logged output image
* feat: delete temp images after yielding to gradio
* feat: use args temp path if given
* chore: code cleanup, remove redundant if statement
* add advanced parameter for disable_intermediate_results
prevents gradio frontend process from clogging image output and updates in high throughput scenarios such as LCM with image number >= 4
* update disable_intermediate_results correctly
based on default and selected performance
* chore: add missing translations
Manuel Schmid
Manuel Schmid
docppp
Manuel Schmid
delta_lt_0
xhoxye
Brian Flannery
MindOfMatter