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docs(vault): fleet-wide fact re-verification pass (67 pages)

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The docs-fact census wave re-read the live hosts and re-keyed every page
it could: runtime/payload identities, ports, sizes, ledger figures, unit
state, and the retirement banners that drifted as the fleet moved. The
wave was interrupted mid-run, so this commit carries only what passed the
integrity gates: every touched page parses (front matter or H1+status
convention intact, balanced fences, no truncated tables, trailing
newline), the docs_completeness and link-integrity seams are green, and
bats is 384/384.

Numbers that this session proved on live hosts are keyed to the measured
value, not the page's earlier claim.
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serverAppConfigs-docs/Dankclaw/ComfyUI Qwen-Image Workflows.md
+42 -20
View File
@@ -12,24 +12,31 @@ timestamp: 2026-10-05
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
live API on port 8188 and verifying the rendered PNG (the renders are still on
disk: `qwen21-art_00001_.png` 22:41 and `qwen21-text_00001_.png` 22:44,
`ls -l /home/dank/comfyui-data/output/` 2026-10-18). The repo copies are the
source of truth; the host copies under `/home/dank/comfyui-data/workflows/`
are for convenience.
are for convenience and are byte-identical today (`md5sum` matches both files,
2026-10-18).
## What is on disk
Sizes are GiB, measured `ls -l` on the host 2026-10-18 (all files dated
2026-09-21).
| 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 |
| `diffusion_models/qwen_image_2.1_int8_convrot.safetensors` | 6.8 GB (7,256,783,064 B) | **The one the workflows use** — int8-convrot quant, ComfyUI-core native |
| `diffusion_models/qwen_image_2.1_bf16.safetensors` | 13.3 GB (14,230,280,616 B) | Full-precision fallback |
| `diffusion_models/qwen-image-2.1-Q8_0.gguf` (+ `-arch`) | 7.1 GB each (7,591,551,648 / 7,591,551,680 B) | GGUF alternative (needs ComfyUI-GGUF custom node, present in `custom_nodes/`) |
| `text_encoders/qwen3vl_8b_w4a8.safetensors` | 5.9 GB (6,312,105,364 B) | **The one the workflows use** — 4-bit-weights/8-bit-act Qwen3-VL 8B encoder |
| `text_encoders/qwen3vl_8b_int8_convrot.safetensors` | 8.7 GB (9,350,798,360 B) | Mid quant |
| `text_encoders/qwen3vl_8b_bf16.safetensors` | 16.3 GB (17,534,334,616 B) | Full precision |
| `vae/qwen_image_2.1_vae_bf16.safetensors` | 645 MB (675,509,688 B) | 2.1 VAE (used) |
| `vae/qwen_image_vae.safetensors` | 243 MB (253,806,246 B) | Smaller VAE |
No LoRAs are on disk yet — see [Recommended additions](#recommended-additions).
No LoRAs are on disk yet, and `models/lora/` / `models/controlnet/` do not
exist — see [Recommended additions](#recommended-additions).
## The workflows
@@ -45,7 +52,13 @@ EmptySD3LatentImage ─────────┴─ KSampler ─ VAEDecode ─
```
**Common sampler settings:** `cfg 1.0` (Qwen-Image 2.1 expects CFG-free
sampling), `euler` + `simple`, seed fixed in the file.
sampling), `sampler_name: euler`, `scheduler: simple`, `denoise: 1.0`, seed
fixed in the file (`1930` in the art workflow, `2026` in the text one) —
read from `dankclaw/comfyui/workflows/*.json` node `9`.
Node `class_type`s in both files: `CLIPTextEncode` ×2, `UNETLoader`,
`CLIPLoader`, `VAELoader`, `EmptySD3LatentImage`, `KSampler`, `VAEDecode`,
`SaveImage` (ids 3–11).
| Workflow | File | Shape | Steps | Made for |
|---|---|---|---|---|
@@ -68,8 +81,9 @@ prompt is written for it:
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
(`qwen21-text_00001_.png`, 953,254 B — still on disk, `ls -l
/home/dank/comfyui-data/output/` 2026-10-18). 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
@@ -89,20 +103,28 @@ 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.
`/opt/ComfyUI/user` layer and do NOT survive an image rebuild — the unit mounts
only `models`, `input`, `output`, `custom_nodes` and the healthcheck file
(`podman inspect comfyui` 2026-10-18; `dankclaw/comfyui/quadlet/comfyui.container:48-52`)
— 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.
Quantized preferred, sized for the 8060S iGPU (GTT-backed — `/system_stats`
reports 122.4 GB of device VRAM on `cuda:0`, `curl http://127.0.0.1:8188/system_stats`
2026-10-18; the RTX 3090 is frank-zealot's). All repos verified 2026-10-05 and
all four still resolve today (`huggingface.co/lightx2v/Qwen-Image-Lightning`,
`huggingface.co/unsloth/Qwen-Image-Edit-2511-GGUF`,
`huggingface.co/Comfy-Org/Qwen-Image-DiffSynth-ControlNets`,
`huggingface.co/QuantStack/Wan2.2-TI2V-5B-GGUF`, 2026-10-18). None are on disk
yet: `models/` holds no lora/, controlnet/ or Wan/Edit file (`ls -R` 2026-10-18).
| # | 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) |
| 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 (`GET http://127.0.0.1:8188/object_info/QwenImageDiffsynthControlnet` → 200, 2026-10-18) |
| 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` is in this build's `CLIPLoader` type enum — `GET http://127.0.0.1:8188/object_info/CLIPLoader` 2026-10-18) |
Placement: #1 → `models/lora/` (create it), #2 → `models/diffusion_models/`,
#3 → `models/controlnet/` (create it), #4 → `models/diffusion_models/`.