Pure Vision v1.0 is a high-fidelity photorealistic model built on Stable Diffusion 1.5.
It was designed to generate realistic, prompt-accurate, and clean images β both SFW and NSFW β without relying on trigger words or strong negative prompts.
This model provides a neutral, natural rendering style suitable for portraits, full-body compositions, and concept-driven prompts. It is highly stable at high resolutions and ideal for building semantic LoRA datasets, thanks to its consistent anatomy, skin tone, and body proportions.
π§± Merge Composition
SD 1.5 pruned (ema-only) β core stability
Realistic Vision v5.1 β photorealistic balance
CyberRealistic v9.0 β anatomy and body fidelity
Dreamlike Photoreal 2.0 β soft natural rendering
StL Detail LoRA (baked-in) β skin, lighting & facial refinement
βοΈ Generation Settings (Recommended)
Steps: 35
CFG Scale: 7.5
Sampler: DPM++ 2M Karras
Resolution: 512Γ768 or use HiRes Fix (preferred)
No need for negative prompt (optional: standard SD 1.5 anti-glitch)
β¨ Strengths
True photorealism without harsh stylization
No need for trigger tokens or manual conditioning
Perfect for full-body images, portraits, and LoRA training datasets
Compatible with ControlNet, AnimateDiff, LoRA