William Gill b815cd6a5f Tune static workflows to CyberRealisticXL recommended settings
The static workflow JSONs default to CyberRealisticXLPlay (set in an
earlier commit), but the KSampler still had euler/normal/CFG7/20 — the
generic settings I scaffolded with. Updated to the creator-published
defaults: dpmpp_2m_sde / karras / CFG 4 / 28 steps. CLIP skip 1
already correct (no node needed; default behavior).

Added a section to the deployment README spelling out the trade-off:
static workflows are locked to one checkpoint family at a time because
Open WebUI's nodes mapping doesn't expose sampler/CFG/scheduler/CLIP
skip/prefix. For multi-checkpoint use, the smart_image_gen Tool path is
the only one that gets these right per-prompt.

Re-paste workflows into Open WebUI Settings → Images to pick up.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-19 12:47:46 -05:00

comfyui-nvidia

ComfyUI image-generation backend, NVIDIA-accelerated, fronted by Open WebUI for multi-user chat and image generation/editing.

Built from the official ComfyUI manual install for NVIDIA — no third-party base image. CI publishes the image to git.anomalous.dev/alphacentri/comfyui-nvidia on every v* tag (see .gitea/workflows/release.yml).

Repository layout

Path What
Dockerfile ComfyUI on NVIDIA, manual-install pattern
workflows/ txt2img + img2img workflow JSONs and node mappings
deployments/ai-stack/ The deployment — compose, Caddyfile, env, model preseed
.gitea/workflows/ Release pipeline (build & push image on tag)

Deploy

The full stack — Caddy + Ollama + ComfyUI + Open WebUI (+ optional Anubis) — lives under deployments/ai-stack/. Bring-up steps, host prerequisites, Open WebUI workflow wiring, and gotchas are in deployments/ai-stack/README.md.

Replaces

This repo supersedes the previous figment + segment + Forge stack. ComfyUI's node graph covers everything those services provided (txt2img, img2img, inpaint, mask generation via SAM/GroundingDINO custom nodes), and Open WebUI talks to it natively.

Description
No description provided
Readme 553 KiB
Languages
Python 84%
Shell 11.7%
Dockerfile 4.3%