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fullgreed

John2386

**Fullgreed** is a fine-tune of Alibaba Tongyi's **Z-Image** — the 6B-parameter Single-Stream Diffusion Transformer (S3-DiT) — tuned for photorealistic, phone-camera-authentic portraits and selfies: natural lighting, believable skin and hair texture, and outputs that read as real photos rather than "AI renders." It is a surgical fine-tune: only the attention and feed-forward projection weights were trained, leaving the base model's norms, embedders, and timestep conditioning untouched. Fullgreed keeps everything Z-Image is good at (bilingual prompt following, text rendering, composition) while adding its own photographic character. Both files produce the same images — the INT8 is effectively lossless (measured 0.03% average weight error vs the full-precision weights — visually identical output) at half the size and memory, and it needs **no custom nodes**: it runs on stock ComfyUI, including ComfyUI Cloud.

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Input Text→ Output Image

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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