Files
serverAppConfigs/serverAppConfigs-docs/Dankclaw/ComfyUI Qwen-Image Workflows.md
T
Frank 55f87fcdce llm: retire the trio service names — fleet services renamed to frank-archon/frank-dragoon/frank-zealot
The 2026-10-09 wire aliases become the service names everywhere:
systemd units, serve scripts, env files and FRANK_* variables,
deploy-plan/deploy-remote service keys, container names, Prometheus
job names + alert rules, Grafana dashboard queries, bats seams,
runbook filenames, homepage/AGENTS lore, and historical prose.
Rollback tags renamed in lockstep. Residue in the tree: zero.
Retired frank-medium/small/npu names are history and stay.

Known casualty: scripts/patches/*.patch context lines were rewritten;
those retired-era vLLM-fork patches no longer apply byte-exact.
2026-10-10 17:03:14 -07:00

122 lines
6.2 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
---
type: howto
description: "Qwen-Image 2.1 workflows on Dankclaw: two proven txt2img workflows (art + legible text), the API recipe, and which models/LoRAs to add next."
tags:
- dankclaw
- comfyui
- qwen-image
timestamp: 2026-10-05
---
# ComfyUI Qwen-Image Workflows
Two ready-to-load text-to-image workflows for the Qwen-Image 2.1 payload
already on Dankclaw, both proven end-to-end on 2026-10-05 by POSTing to the
live API on port 8188 and verifying the rendered PNG. The repo copies are the
source of truth; the host copies under `/home/dank/comfyui-data/workflows/`
are for convenience.
## What is on disk
| Path (under `/home/dank/comfyui-data/models/`) | Size | Role |
|---|---|---|
| `diffusion_models/qwen_image_2.1_int8_convrot.safetensors` | 6.8 GB | **The one the workflows use** — int8-convrot quant, ComfyUI-core native |
| `diffusion_models/qwen_image_2.1_bf16.safetensors` | 14 GB | Full-precision fallback |
| `diffusion_models/qwen-image-2.1-Q8_0.gguf` (+ `-arch`) | 7.1 GB | GGUF alternative (needs ComfyUI-GGUF custom node) |
| `text_encoders/qwen3vl_8b_w4a8.safetensors` | 5.9 GB | **The one the workflows use** — 4-bit-weights/8-bit-act Qwen3-VL 8B encoder |
| `text_encoders/qwen3vl_8b_int8_convrot.safetensors` | 8.8 GB | Mid quant |
| `text_encoders/qwen3vl_8b_bf16.safetensors` | 17 GB | Full precision |
| `vae/qwen_image_2.1_vae_bf16.safetensors` | 645 MB | 2.1 VAE (used) |
| `vae/qwen_image_vae.safetensors` | 243 MB | Smaller VAE |
No LoRAs are on disk yet — see [Recommended additions](#recommended-additions).
## The workflows
Both are API-format JSON (ComfyUI 0.37 loads them via the UI's **Load** dialog
too): `dankclaw/comfyui/workflows/` in the repo,
`/home/dank/comfyui-data/workflows/` on the host. Node chain in both:
```
UNETLoader (int8_convrot) ──┐
CLIPLoader (qwen_image, w4a8) ─┤ CLIPTextEncode pos/neg
VAELoader (2.1 bf16) ────────┤
EmptySD3LatentImage ─────────┴─ KSampler ─ VAEDecode ─ SaveImage
```
**Common sampler settings:** `cfg 1.0` (Qwen-Image 2.1 expects CFG-free
sampling), `euler` + `simple`, seed fixed in the file.
| Workflow | File | Shape | Steps | Made for |
|---|---|---|---|---|
| Art | `qwen-image-2.1-t2i-art.json` | 1024×1024 | 20 | General illustration/prose prompts |
| Legible text | `qwen-image-2.1-t2i-legible-text.json` | 832×1216 | 25 | Posters, captions, any in-image text |
### Legible-text prompt recipe
Qwen-Image 2.1 is one of the best open-weight text renderers, but only if the
prompt is written for it:
1. **Quote the exact strings**: `large bold white text reading "SOLIDARITY OF
THE SOVIET COMPUTER SYSTEMS"` — quoted text is rendered literally.
2. **Describe layout, not vibes**: say *centered / below it / large vs small*,
the typeface family (sans-serif), and the color.
3. **Say what NOT to draw**: end with `no other words, no watermark`.
4. Keep the negative side on `misspelled, warped letters, extra text` (already
in the workflow).
5. More steps help text: the text workflow uses 25 vs 20.
Verified render: `SOLIDARITY OF THE SOVIET COMPUTER SYSTEMS` + `DANKCLAW
DANKSERVER EST 2026` came back crisp and correctly spelled at 832×1216
(`qwen21-text_00001_.png`, 953 KB). One caveat from the same render: a
shorter secondary line is where misspellings creep in — proofread the first
render before shipping.
## Driving it from the API
ComfyUI 0.37 **requires the graph wrapped in a `prompt` key** — a bare
`{node-id: node}` body gets `{"error": {"type": "no_prompt"}}` (verified
2026-10-05):
```bash
curl -s -X POST http://127.0.0.1:8188/prompt -H 'Content-Type: application/json' \
-d "$(python3 -c 'import json;print(json.dumps({"prompt": json.load(open("dankclaw/comfyui/workflows/qwen-image-2.1-t2i-art.json"))}))')"
# -> {"prompt_id": "...", ...}
curl -s http://127.0.0.1:8188/history/<prompt_id> # status.status_str == "success"
```
Outputs land in `/home/dank/comfyui-data/output/`. The queue is FIFO — the
two workflows above ran back-to-back unattended.
**Note:** the container's UI-saved workflows live in the ephemeral
`/opt/ComfyUI/user` layer and do NOT survive an image rebuild — hence the
host-side `workflows/` dir and the repo copy.
## Recommended additions
Quantized preferred, sized for the 8060S iGPU (GTT-backed; the RTX 3090 is
frank-zealot's). All repos verified 2026-10-05. None are on disk yet.
| # | What | Repo | Grab | Size | Why |
|---|---|---|---|---|---|
| 1 | **Lightning 8-step LoRA** (T2I speed) | `lightx2v/Qwen-Image-Lightning` | `qwen_image_lightning_8steps_*.safetensors` (LoRA) | ~1–2 GB | 20 steps → 8 with a `LoraLoader` node; 2–3× faster renders on the iGPU, negligible quality loss |
| 2 | **Qwen-Image-Edit-2511 GGUF** (image editing) | `unsloth/Qwen-Image-Edit-2511-GGUF` | Q4_K_M (~13.2 GB) or Q4_0 (~11.9 GB) | ~12–13 GB | Unlocks img2img "edit this photo" workflows — a capability class the fleet has zero of; Q4 keeps it iGPU-friendly |
| 3 | **DiffSynth ControlNets** (structure control) | `Comfy-Org/Qwen-Image-DiffSynth-ControlNets` | `split_files/model_patches/` canny + depth | ~2–3 GB each | Pose/edge/depth-guided layouts — pairs with the legible-text workflow for exact poster composition. The `QwenImageDiffsynthControlnet` node is already in the running ComfyUI |
| 4 | **Wan 2.2 TI2V-5B GGUF** (first video model) | `QuantStack/Wan2.2-TI2V-5B-GGUF` | Q4/Q5 GGUF (~6–8 GB) | ~6–8 GB | T2V+I2V in one dense 5B model; the gentlest on-ramp into video generation, runs in ComfyUI core (`wan` CLIP type is already in this build's loader enum) |
Placement: #1 → `models/lora/` (create it), #2 → `models/diffusion_models/`,
#3 → `models/controlnet/` (create it), #4 → `models/diffusion_models/`.
Fetch with `scripts/download-frank-*.sh` discipline (`-f` + byte-count +
sha256 checks) or a plain `hf download` with the token in the environment —
never on the command line.
Skip list: the original `city96/Qwen-Image-gguf` conversions (superseded by
the 2.1 files already on disk), and any BF16 of #2/#4 (the iGPU does not need
them at GTT capacity, and they double the disk bill).
## See Also
- [[ComfyUI]] — the service itself (image, unit, GPU access)
- [[ComfyUI ROCm and Vulkan]] — the live-verified GPU path
- [[Dankclaw Stack]] — the host