Imaginairy

- all these changes together mean same seed/sampler will not be guaranteed to produce same image (thus the version bump)
- fix: image composition didn't work very well. Works well now but probably very slow on non-cuda platforms
- fix: remove upscaler tiling message
- fix: improve k-diffusion sampler schedule. significantly improves image quality of default sampler
- fix: img2img was broken for all samplers except plms and ddim when init image strength was >~0.25

- feature: input raw control images (a pose, canny map, depth map, etc) directly using `--control-image-raw`
This is opposed to current behavior of extracting the control signal from an input image via `--control-image`
- feature: `aimg model-list` command lists included models
- feature: system memory added to `aimg system-info` command
- feature: add `--fix-faces` options to `aimg upscale` command
- fix: add missing metadata attributes to generated images
- fix: image composition step was producing unnecessarily blurry images
- refactor: split `aimg` cli code into multiple files
- docs: pypi docs now link properly to github automatically

- feature: 🎉 ControlNet integration! Control the structure of generated images.
- feature: `aimg colorize` attempts to use controlnet to colorize images
- feature: `--caption-text` command adds text at the bottom left of an image

- fix: `edit` was broken

- feature: 🎉🎉 Make large images while retaining composition. Try `imagine "a flower" -w 1920 -h 1080`
- fix: create compilations directory automatically
- perf: sliced encoding of images to latents (removes memory bottleneck)
- perf: use Silu for performance improvement over nonlinearity
- perf: `xformers` added as a dependency for linux and windows. Gives a nice speed boost.
- perf: sliced attention now runs on MacOS. A typo prevented that from happening previously.
- perf: sliced latent decoding - now possible to make much bigger images. 3310x3310 on 11 GB GPU.

- fix: edit interface was broken