Realistic Vision ULTRA | ZIB

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Realistic Vision ULTRA | ZIB

Uncensored realism, refined on the Z Image Base foundation.

A boundary-pushing fine-tune of Realistic Vision, built to preserve authentic human detail without artificial censorship. Trained on a curated 1.5K+ dataset (1K+ SFW / 500+ NSFW) to balance natural aesthetics with uncensored generation capability.

⚙️ Recommended Parameters:

• Sampling Method: Euler➡res_multistep➡DPM++ 2M SGM Uniform

• Sampling Steps: 25➡40

• Guidance Scale: 2.5➡5

🔧 Training Snapshot (Beta v0.8)

• Steps: ~20K

• Resolution: 1024×1024

• Hardware: 2× NVIDIA A6000 (96GB VRAM)

• Optimizer: Adafactor | Scheduler: Cosine

• LR: 5e-05 | Batch Size: 4

✅ Current State (Beta)

• Upper body generation: Stable and detailed — skin texture, anatomy, and lighting render cleanly.

• Lower body: Still refining — occasional artifacts may appear. Further training required.

• Overall: Already outperforms base Z Image in realism and detail retention, especially for mature/adult subjects.

⚠️ Note: Training paused temporarily due to resource constraints. Full refinement (especially lower body) will resume in v0.9+.

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If you appreciate the work I’ve put into this model, I kindly ask you to take a moment to leave feedback. Your input is invaluable and will help me improve future projects!