This is an Omost model, which has train on tags that define a canvas to improve the composition and prompt accuracy for stable diffusion generation using clip and T5 base encode systems. You can use this with https://github.com/if-ai/ComfyUI-IF_AI_tools
675 Pulls Updated 4 months ago
Updated 4 months ago
4 months ago
3b8ea878d8dd · 4.9GB
Readme
The advantage of using this is that it seems to be at least twice as fast as other Omost implementations I tested and with better results.
Omost Guide
You can watch it here.
Note: For best results, it might help to set the temperature below 0.5.
A workflow is provided on the workflows folder of the repo - omost_agent_wf.json You will need my ComfyUI custom node and select the Omost tool write an small prompt and run the queue Omost will take care of the rest
https://github.com/if-ai/ComfyUI-IF_AI_tools and the ComfyUI Omost custom node for the rest of the conditioning nodes https://github.com/huchenlei/ComfyUI_omost?tab=readme-ov-file
Prompt: “a jaguar on the rainy forest”
Model: ProteusV0.4
Non cherry picked but Omost picked
Results: