ComfyUI-Cluster

Ollama-driven routing nodes and curated workflows for ComfyUI.

This repo is cleaned to a focused setup:

• four production workflows
• checkpoint + LoRA flow
• flux split-component flow (diffusion model + VAE + text encoders)
• image-guided variants using Ollama vision analysis

model_registry.json is intentionally kept as the long-term reference registry.

Included Nodes

Exported custom nodes:

• OllamaPromptPlanner
• OllamaVisionStylePlanner
• DynamicCheckpointLoader
• DynamicLoraStack
• PreviewTextMerge
• LiveStatus

Workflows

All workflows are in workflows/:

• workflows/ollama_text_checkpoint_lora.json
• workflows/ollama_text_flux_split_lora.json
• workflows/ollama_image_checkpoint_lora.json
• workflows/ollama_image_flux_split_lora.json

Details are documented in docs/WORKFLOWS.md.

Install

1. Start Ollama and ensure your model is available (for example qwen2.5:7b and llava:7b).
2. Run:

install.bat

3. If gated Hugging Face models are required, set:

set HF_TOKEN=your_hf_token

Installer behavior and model paths are documented in docs/INSTALL.md.

Notes

• Flux split workflows expect:
  • diffusion model in models/diffusion_models/
  • VAE in models/vae/
  • text encoders in models/text_encoders/
• LoRA loading uses models/loras/.
• DynamicCheckpointLoader fallback now respects per-model folder_type from model_registry.json.