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Commit Graph

89 Commits (4bc78b9be56b0877ad8d8c8b035be5b1271192ef)

Author SHA1 Message Date
Bryce c46d1c373c version: 7.3.0 2 years ago
Bryce 239b235140 feature: depth-based image-to-image generations (and inpainting) 2 years ago
Bryce ad0b9e8ab8 feature: tile in a single dimension ("x" or "y") 2 years ago
Bryce 1f7403155e fix: more thorough cleaning of memory when switching models 
also cleanup up some test failures
 2 years ago
Bryce Drennan 8dcdef3c58
Update README.md 2 years ago
Bryce f30823e0b5 feature: Stable Diffusion 2.1 2 years ago
Bryce 2f8edc1530 feature: negative prompting 
- feature: negative prompting.  `--negative-prompt` or `ImaginePrompt(..., negative_prompt="ugly, deformed, extra arms, etc")`
- feature: a default negative prompt is added to all generations. Images in SD-2.0 don't look bad anymore. Images in 1.5 look improved as well.
 2 years ago
Bryce 0e342a126e version: 6.1.2 2 years ago
Bryce e0af5d0089 fix: version metadata was broken 
Fixes #114
 2 years ago
Bryce 4610d7f01d feature: xformers support 
add more upscaling code (that doesn't yet work)
 2 years ago
Bryce 9c153a8d2d feature: support k-sampler methods for SD-2.0-v (768) 2 years ago
Bryce 015088507f feature/refactor/fix: better defaults. correct version in metadata 
- feature: use different default steps and image sizes depending on sampler and model selceted
- fix: #110 use proper version in image metadata
- refactor: samplers all have their own class that inherits from ImageSampler
 2 years ago
Bryce 60620e0312 docs: add badges 2 years ago
Kian-Meng Ang 3d04df4dee Fix typos 
Found via `codespell -S ./imaginairy/vendored`
 2 years ago
Bryce Drennan c5402949c4
Update README.md 2 years ago
Bryce e67341223b feature: Stable Diffusion 2.0 
working: CUDA and MacOS
working: 512p model with all samplers
working: inpainting with all samplers
working: 768p model with ddim sampler
 2 years ago
Bryce 1a866c48e1 version: 5.1.0 2 years ago
Bryce 893b041a8f feature: progress image callback 2 years ago
Bryce 411f359f4e version: 5.0.1 2 years ago
Bryce d499ca307b fix: use inpainting source that doesn't require login 2 years ago
Bryce 584e0d9df0 feature: change default sampler to k_dpmpp_2m, which is more than twice as fast 2 years ago
Bryce 0f02fc587c fix: k_dpm_fast on MPS platform 
fixes #75

As discussed here: https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/2446#issuecomment-1279733739
 2 years ago
Bryce 7af1ab66ca fix: add workaround for bug in k_diffusion on mps 
As documented here: https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/4558#issuecomment-1310387114

- make image logs more consistent
- note which step the progress images belong to in the filename
 2 years ago
Bryce 7fba2972e8 feature: added `DPM++ 2S a` and `DPM++ 2M` samplers 
-fix: fix bug with `--show-work`
 2 years ago
Bryce 17399e7702 docs: update about inpainting 2 years ago
Bryce 94c0aeab12 feature: switch between models without restarting python instance 2 years ago
Bryce 97682da9ed version: 4.0.0 2 years ago
Bryce 8332593fed feature: dilation and erosion of masks 
Previously the `+` and `-` characters in a mask (example: `face{+0.1}`) added to the grayscale value of any masked areas. This wasn't very useful. The new behavior is that the mask will expand or contract by the number of pixel specified. The technical terms for this are dilation and erosion.  This allows much greater control over the masked area.
 2 years ago
Bryce 6f1455e912 docs: update readme 2 years ago
Bryce 4ba1965db8 feature: k-diff sampler img2img and masking 2 years ago
Bryce 497dc81d9e fix: k-sampler methods were broken 2 years ago
Bryce 6a80759016 feature: improved safety filter 
- provides more informative logs
- provides a detailed safety score object
- adds non-bypassable filter for extreme content
 2 years ago
Bryce 83db4ad795 docs: fix prompt expansion description 
thanks to @Cybergate9 for identifying the mistakes

addresses #52
 2 years ago
Bryce 26483ef128 version: 2.4.0 2 years ago
Bryce Drennan 31c2160e21
feature: prompt expansion (#51) 
You can use `{}` to randomly pull values from lists.  A list of values separated by `|` and enclosed in `{ }` will be randomly drawn from in a non-repeating fashion. Values that are surrounded by `_ _` will pull from a phrase list of the same name.   Folders containing .txt phraselist files may be specified via
`--prompt_library_path`. The option may be specified multiple times.  Built-in categories:

      3d-term, adj-architecture, adj-beauty, adj-detailed, adj-emotion, adj-general, adj-horror, animal, art-movement,
      art-site, artist, artist-botanical, artist-surreal, aspect-ratio, bird, body-of-water, body-pose, camera-brand,
      camera-model, color, cosmic-galaxy, cosmic-nebula, cosmic-star, cosmic-term, dinosaur, eyecolor, f-stop,
      fantasy-creature, fantasy-setting, fish, flower, focal-length, food, fruit, games, gen-modifier, hair, hd,
      iso-stop, landscape-type, national-park, nationality, neg-weight, noun-beauty, noun-fantasy, noun-general,
      noun-horror, occupation, photo-term, pop-culture, pop-location, punk-style, quantity, rpg-item, scenario-desc,
      skin-color, spaceship, style, tree-species, trippy, world-heritage-site

   Examples:

   `imagine "a {red|black} dog" -r 2 --seed 0` will generate both "a red dog" and "a black dog"

   `imagine "a {_color_} dog" -r 4 --seed 0` will generate four, different colored dogs. The colors will eb pulled from an included
   phraselist of colors.

   `imagine "a {_spaceship_|_fruit_|hot air balloon}. low-poly" -r 4 --seed 0` will generate images of spaceships or fruits or a hot air balloon

   Credit to [noodle-soup-prompts](https://github.com/WASasquatch/noodle-soup-prompts/) where most, but not all, of the wordlists originate.
 2 years ago
Bryce 0244d4151f version: 2.3.1 2 years ago
Bryce 5cc19c460c version: 2.3.0 2 years ago
Bryce 00fff23fdf docs: update macos installation instructions 2 years ago
Bryce 282fbc19b5 version: 2.2.1 2 years ago
Bryce 302845f35a docs: update feature plans 2 years ago
Bryce da0b983622 version: 2.2.0 2 years ago
Bryce 9fe3cf79c2 feature: better masking segmentation from clipseg 2 years ago
Bryce f21c979f08 feature: better masking segmentation from clipseg 2 years ago
Bryce c92e5c443f version: 2.0.3 2 years ago
Bryce 95a8fa31a9 fix: inpainting producing blurry images 
while the previous version did produce much better blending it also makes images that lack detail for some reason.

tests: Added more tests to help catch this sort of thing earlies

fix: found that median blur is really slow, so I made sure we only do it on downsampled masks.  Was taking like 3 minutes to run on the large pearl girl picture on M1

- docs: update examples
 2 years ago
Bryce 6cae290038 fix: inpainting now matches photo at high generation strength 
- 🎉 fix: inpainted areas correlate with surrounding image, even at 100% generation strength.  Previously if the generation strength was high enough the generated image
would be uncorrelated to the rest of the surrounding image.  It created terrible looking images.
 - fix: mask boundaries are more accurate
 2 years ago
Bryce d563e0c7fb refactor: image version management 
- mask_modify_original is now a prompt attribute
 2 years ago
Bryce d832f15297 fix: masking now works properly at strengths 0 and 1 2 years ago
Bryce b69b4c770e feature: interactive prompt 
- add quiet flag
- add mask-modify-original flag
 2 years ago
Bryce 38c7f88950 feature: boolean logic masks 
Specify advanced text based masks using boolean logic and strength modifiers. Mask descriptions must be lowercase. Keywords uppercase.
Valid symbols: `AND`, `OR`, `NOT`, `()`, and mask strength modifier `{*1.5}` where `+` can be any of `+ - * /`. Single-character boolean
operators also work.  When writing strength modifies know that pixel values are between 0 and 1.

 - feature: apply mask edits to original files
 - feature: auto-rotate images if exif data specifies to do so
 - fix: accept mask images in command line
 2 years ago