- allow generation at any size
- output "bounce" animations
- choose output format: mp4, webp, or gif
- fix random seed handling
- organize some code better
fixes#424
- pref: improve memory usage when loading SD15.
- feature: clean up CLI output more
- feature: cuda memory tracking context manager
- feature: use safetensors fp16 for sd15
- recording timing and memory usage of various steps
- re-use logging context for composition images
- load sdxl weights in a more VRAM efficient way
- switch to diffusers weights for default weights for sd15
- adds support for (SDXL)[https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0]
- adds sliced encoding/decoding to refiners sdxl pipeline
- doesn't support inpainting, controlnets
- monkeypatches self_attention_guidance to use sliced attention
- adds a bunch of model weight translation utilities and weightmaps
- add [opendalle 1.1](https://huggingface.co/dataautogpt3/OpenDalleV1.1)
- change default model to opendalle
- fix: better handle special characters in path inputs on command line
**todo**
- add tests
- fix colorize cmd. add test
- fix describe cmd. add test
- fix model-list cmd. add test
- fix stable studio
- hide stack grace for ValueErrors in cli
- set controlnet scale
- fix negative prompt to allow emptystring instead of replacing it with default
- adjust edit-demo parameters
- arg scheduler that works at click level (but disable it). works but not ideal experience.
- do not provide automatically imported api functions and objects in `imaginairy` root module
- horrible hack to overcome horrible design choices by easy_install/setuptools
The hack modifies the installed script to remove the __import__ pkg_resources line
If we don't do this then the scripts will be slow to start up because of
pkg_resources.require() which is called by setuptools to ensure the
"correct" version of the package is installed.
before modification example:
```
__requires__ = 'imaginAIry==14.0.0b5'
__import__('pkg_resources').require('imaginAIry==14.0.0b5')
__file__ = '/home/user/projects/imaginairy/imaginairy/bin/aimg'
with open(__file__) as f:
exec(compile(f.read(), __file__, 'exec'))
```
This means you can just stick any image into the video generator without worrying about the size.
- better generated video filenames
- output h264 video as well
