| --- |
| license: apache-2.0 |
| library_name: diffusion-single-file |
| base_model: Tongyi-MAI/Z-Image |
| pipeline_tag: text-to-image |
| tags: |
| - text-to-image |
| - z-image |
| - comfyui |
| - int8 |
| - photorealistic |
| --- |
| |
| # Fullgreed — Z-Image Base Fine-tune (Photoreal, INT8) |
|
|
| **Fullgreed** is a fine-tune of Alibaba Tongyi's **Z-Image (Omni-Base)** — 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. |
|
|
| ## Released model |
|
|
| | File | What it is | Size | |
| |---|---|---| |
| | `fullgreed_int8.safetensors` | INT8, ComfyUI-native quantization format | 6.3 GB | |
|
|
| The INT8 release 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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|
| Companion files are included in this repo for convenience: |
|
|
| - `qwen_3_4b.safetensors` — text encoder (Qwen3-4B) |
| - `money_vae_f16.safetensors` — VAE (16-channel) |
| - [`workflows/alphgreed_workflow.json`](./workflows/alphgreed_workflow.json) — ready-made ComfyUI workflow (text-to-image + SeedVR2 upscale stage) |
|
|
| ## Loading (ComfyUI) |
|
|
| - **Diffusion model:** Load Diffusion Model (UNETLoader) → `fullgreed_int8.safetensors` |
| - **Text encoder:** CLIPLoader → `qwen_3_4b.safetensors`, type **`lumina2`** |
| - **VAE:** VAELoader → `money_vae_f16.safetensors` |
| - **ModelSamplingAuraFlow** node with **shift = 3** |
| - Latent: **EmptySD3LatentImage** |
|
|
| Also runs in **Draw Things** (import as a Z-Image model) and anything else that supports Z-Image. |
|
|
| ## Recommended settings |
|
|
| - **Steps:** 8–20 |
| - **CFG:** 1–4 (sweet spot ≈ 1–3; a negative prompt works) |
| - **Sampler / scheduler:** `res_multistep` / `simple` (euler also works) |
| - **Resolution:** native around 1024×1024, up to ~4K |
|
|
| ## Tips |
|
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| - Slight CFG restraint (≤4) preserves the photographic look; high CFG pushes toward an over-processed render feel. |
| - The model responds well to camera-language prompts: phone selfie, mirror shot, golden hour, indoor tungsten, shallow depth of field, etc. |
| - The INT8 file uses ComfyUI's **native** quantization format — no custom nodes or CUDA extensions. It is not the same as older int8 builds that required a custom node to decode. |
|
|
| ## Credits & license |
|
|
| - Base model: **Z-Image (Omni-Base)** by Tongyi-MAI, Alibaba Group — see the [Z-Image technical report (arXiv 2511.22699)](https://arxiv.org/abs/2511.22699). |
| - Text encoder: Qwen3-4B (Alibaba). VAE: Flux VAE family (Black Forest Labs). |
| - License: **Apache-2.0**, matching the Z-Image base model. |
|
|
| *Please generate responsibly. Do not use this model to create images of real people without their consent.* |
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|
