* add preset selection
uses meta parsing to set presets in user session (UI elements only)
* add LoRA handling
* use default config as fallback value
* add preset refresh on "Refresh All Files" click
* add special handling for default_styles and default_aspect_ratio
* sort styles after preset change
* code cleanup
* download missing models from preset
* set default refiner to "None" in preset realistic
* use state_is_generating for preset selection change
* DRY output parameter handling
* feat: add argument --disable-preset-selection
useful for cloud provisioning to prevent model switches and keep models loaded
* feat: keep prompt when not set in preset, use more robust syntax
* fix: add default return values when preset download is disabled
https://github.com/mashb1t/Fooocus/issues/20
* feat: add translation for preset label
* refactor: unify preset loading methods in config
* refactor: code cleanup
* 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 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
Manuel Schmid
xhoxye
eddyizm
Brian Flannery
MeterCai
lllyasviel