lllyasviel/Omost

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

7610 stars · 434 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Omost is a Python application that converts LLM coding capability into image composition by having pretrained LLMs (based on Llama3 and Phi3) write code against a virtual Canvas agent. The Canvas is rendered by image generators to produce final images, runnable locally with 8GB Nvidia VRAM or via a hosted HuggingFace space.

Use cases

• generate images from text prompts with better layout control
• compose complex multi-subject scenes for image generation
• use an LLM to plan image content before diffusion rendering
• run a local text-to-image assistant on a consumer GPU
• improve prompt-to-image composition quality

When to choose

• you want more controllable, composed image generation than plain prompt-to-image tools
• you have an Nvidia GPU with at least 8GB VRAM and want a local Gradio app
• you want to experiment with LLM-driven image layout planning

When to avoid

• you need a production-grade or API-first image generation service
• you have no GPU and cannot rely on the hosted HuggingFace space
• you need fine-tuning or training of the underlying models

Facets

application · maturity active

llm-inference image-processing machine-learning agent-framework artificial-intelligence large-language-models image-processing graphics python self-hosted image-generation text-to-image gradio diffusion canvas-composition llm gpu web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="lllyasviel/Omost")