impactframes/
dolphin_llama3_omost:latest

2,034 1 year ago

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

1 year ago

3b8ea878d8dd · 4.9GB

model
llama
·
8.03B
·
Q4_K_M
template
{{ if .System }}<|im_start|>system {{ .System }}<|im_end|> {{ end }}{{ if .Prompt }}<|im_start|>user

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: omost_00004_.png omost_00001_.png omost_00002_.png omost_00003_.png