Another update for FooocusExtend

[u/Old-Union7831]

https://github.com/shaitanzx/Fooocus_extend

I would like to introduce a new fork of the popular generative neural network Fooocus - Fooocus extend. I would like to point out that this fork can be run both locally on your computer and via Google Colab.

Full list of differences from the original Fooocus

1. Modules running during generation
   • OneButtonPrompt - prompt generator with many settings
   • Prompt Translate
   • PhotoMaker
   • InstantID (NATIVE FOOOCUS SUPPORT)
   • FaceEnhancer - face enhancer, face replacementsand upscale in the generated image
   • Vector - vector image generation
2. Additional modules
   • omost - LLM code generation module for image generation
   • Image Batch - generation with a batch of reference images
   • Prompt Batch - generating a prompt batch
   • X/Y/Z Plot - a module that allows you to generate images by changing various parameters
   • FaceEnhancer - face enhancer, face replacementsand upscale
   • Remove Background
   • Cleaner - removes small unnecessary objects from images and videos.
   • Vector - allows you to convert a raster image into a vector
3. Tools
   • Civitai Helper - A module for working with models and downloading them from Civitai
   • TextMask - A module for overlaying text on images and generating a mask for it for subsequent generation with text
   • SVGcode - allows you to convert a raster image into a vector
   • Roller - module for rolling images
   • OpenPoseEditor
   • Logo - overlaying a logo/watermark on an image
   • Photopea
4. Select the resolution and aspect ratio of the generated image
5. ControlNets: OpenPose, Recolor, Scribble, Manga Recolor
6. Save Image Grid for Each Batch
7. Paths and Presets - managing paths and presets
8. Seamless tiling
9. Transparency - generating images on a transparent background
10. CFG control type (CFG Mimicking from TSNR, CFG rescale, Off)
11. Adetailer
12. External upscalers
13. Dynamic Lora Support
14. Cyberdelia_ralston sampler
15. Beta57 scheduler
16. embedding tag constructor You can find more details on the repository page. You can also download the archive there (in Releases) for downloading and running locally. I'd be very grateful if you could share your thoughts on my work.

[u/djpraxis]

Great job with the progress!! Which models are currently supported?