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StyleRef-styleref-comfyui/workflows/z-image/01-quickstart.json
T
BehzadandClaude Sonnet 5 dfc6221c47 1.0.4 — demo subjects that stay clothed 
The Renaissance style carries no guardrails, so it compiles an empty negative,
and Z-Image has no negative channel to put one in either. A style steeped in
classical painting therefore drifts to classical nudes on a neutral subject —
which is a poor look for a first-run demo and for the screenshots people take
of it. Positive phrasing in the subject is the only lever either model leaves,
so two of the three subjects now say so outright.

The grid also reads better: a dusk exterior, an interior, and an object with no
figure at all is a wider spread than three peopled scenes, and it makes the
"one style, unrelated subjects" claim harder to argue with.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-27 23:02:54 +02:00

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"Z-Image quickstart \u2014 no account needed.\n1. Queue \u2014 the three Z-Image files download on first run.\n2. Change `subject` on StyleRef Apply and queue again (seeds randomize).\nSwap `style_ref` on StyleRef Load for any gallery slug.\n\nZ-Image Turbo (S3-DiT). Three model files download on first use: the UNET (diffusion_models/), the Qwen text encoder (text_encoders/), and the VAE (vae/).\nSampler defaults are turbo: 8 steps, CFG 1.0, euler/simple.\nZ-Image takes no negative prompt. The model runs without classifier-free guidance, so there is no negative encoder on this canvas \u2014 the sampler's negative input gets a zeroed conditioning. StyleRef still compiles the negative and previews it; put anything you need from it into `subject` on Apply as a positive phrase (\"fully clothed\", \"no text or watermark\"). Raising CFG does not bring the negative back.\nStyle prompts use the `diffusion` target \u2014 Z-Image reads the same tag-weighted output SDXL/SD1.5 use."
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