Instructions to use John2386/fullgreed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use John2386/fullgreed with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
card: simplify base model naming
Browse files
README.md
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# Fullgreed — Z-Image Base Fine-tune (Photoreal, INT8)
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**Fullgreed** is a fine-tune of Alibaba Tongyi's **Z-Image
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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.
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## Credits & license
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- Base model: **Z-Image
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- Text encoder: Qwen3-4B (Alibaba). VAE: Flux VAE family (Black Forest Labs).
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- License: **Apache-2.0**, matching the Z-Image base model.
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# Fullgreed — Z-Image Base Fine-tune (Photoreal, INT8)
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**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."
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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.
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## Credits & license
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- Base model: **Z-Image** by Tongyi-MAI, Alibaba Group — see the [Z-Image technical report (arXiv 2511.22699)](https://arxiv.org/abs/2511.22699).
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- Text encoder: Qwen3-4B (Alibaba). VAE: Flux VAE family (Black Forest Labs).
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- License: **Apache-2.0**, matching the Z-Image base model.
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