feat(comfyui): switch to Qwen-Image 2.1 uncensored GGUF model

Replace the Comfy-Org FP8 safetensors split with abenzerps'
Qwen-Image-2.1-Uncensored-GGUF (Q4_K_M diffusion weights + int8 text
encoder + bf16 VAE). GGUF weights land in models/unet per
ComfyUI-GGUF's convention instead of models/diffusion_models.

Flagged as unconfirmed: whether yurisasc/comfyui-rocm7.1 already
bundles the ComfyUI-GGUF custom node needed for the "Unet Loader
(GGUF)" node — check on deploy and install manually if absent.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

.env.example

@@ -117,14 +117,20 @@ COMFYUI_PGID=
 HOST_VIDEO_GID=
 HOST_RENDER_GID=
 
-# --- ComfyUI diffusion model (Qwen-Image, FP8 — see docs/research/
-# image-generation-model-choice.md and issue #42) ---
-# Three files: diffusion weights, text encoder, VAE — all from the official
-# Comfy-Org FP8 split, chosen specifically because it's the only candidate
-# with a ComfyUI workflow pre-validated on this exact GPU (gfx1201/R9700).
-COMFYUI_DIFFUSION_MODEL_FILE=qwen_image_fp8_e4m3fn.safetensors
-COMFYUI_TEXT_ENCODER_FILE=qwen_2.5_vl_7b_fp8_scaled.safetensors
-COMFYUI_VAE_FILE=qwen_image_vae.safetensors
+# --- ComfyUI diffusion model (Qwen-Image 2.1, uncensored GGUF — see
+# docs/research/image-generation-model-choice.md and issue #42) ---
+# Three files, all from abenzerps/Qwen-Image-2.1-Uncensored-GGUF on
+# HuggingFace: GGUF diffusion weights, safetensors text encoder, safetensors
+# VAE. Q4_K_M is the repo's own recommended size/quality balance (~4.6GB);
+# the int8 text encoder trades some quality for ~8GB less RAM than bf16.
+#
+# Requires the ComfyUI-GGUF custom node (github.com/city96/ComfyUI-GGUF) —
+# NOT confirmed bundled in yurisasc/comfyui-rocm7.1. If the comfyui
+# container doesn't show a "Unet Loader (GGUF)" node, `git clone` it into
+# the image's custom_nodes dir and reinstall its requirements.
+COMFYUI_DIFFUSION_MODEL_FILE=qwen-image-2.1-UC-Q4_K_M.gguf
+COMFYUI_TEXT_ENCODER_FILE=qwen3vl_8b_int8_convrot.safetensors
+COMFYUI_VAE_FILE=qwen_image_2.1_vae_bf16.safetensors
 
 # --- RAG databases (qdrant + neo4j, see wayfinder notes) ---
 # No auth on qdrant (its default) — same trust boundary as llama-server: