- Manual function/action installation without community signup
- Auto Memory setup with Ollama configuration
- Memory vs Knowledge collections comparison (context impact)
- Context window consumption analysis (memories are ~200 tokens fixed,
conversation history is the real context hog)
- Project-scoped memory workarounds (Knowledge collections recommended)
- System prompt fix for models outputting code instead of natural language
- VRAM reality check table (model file size != inference VRAM needed)
- Qwen 9B does NOT fit in 6GB VRAM despite setup script claiming so
https://claude.ai/code/session_01PtYTPherSJaxDEVPgF6Nxu
- Add ComfyUI as optional service in setup wizard (alongside InvokeAI)
- Configure Open WebUI env vars for ComfyUI integration when selected
(ENABLE_IMAGE_GENERATION, IMAGE_GENERATION_ENGINE, COMFYUI_BASE_URL)
- Add ComfyUI docker service (ai-dock/comfyui, port 8188, GPU access)
- Add comprehensive image generation documentation to README:
- ComfyUI + Open WebUI setup steps (model install, workflow export, node mapping)
- AUTOMATIC1111 alternative setup
- Environment variables reference table
- VRAM considerations for simultaneous LLM + image gen
- Update all touchpoints: UFW rules, Caddyfile, start.sh URLs, volumes,
compose services, summary output, directory creation
- Note: InvokeAI does NOT integrate with Open WebUI natively (no compatible API)
ComfyUI is the recommended path for chat-integrated image generation
https://claude.ai/code/session_01PtYTPherSJaxDEVPgF6Nxu
Adds invokeai-import-lora.sh to copy LoRA .safetensors files directly
into InvokeAI's Docker model volume, bypassing the greyed-out UI upload
buttons. Also adds README documentation for LoRA usage and troubleshooting.
https://claude.ai/code/session_01RU7NQuTbA8S8NRoWojvhR5
Claude