BXR - I2V Ultra Quality - Wan2.2 - NSFW

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モデル説明

📽️ BXR - I2V Ultra Quality - Wan2.2 - NSFW

Authored by: BXR

This high-performance Image-to-Video (I2V) workflow is optimized for the Wan 2.1 / 2.2 architecture. It is specifically tuned to achieve realistic skin textures, complex fluid physics, and sleek bioluminescent fantasy aesthetics on 12GB VRAM hardware like the RTX 3080. The system features a triple-engine sampling matrix and a dedicated cinematic post-processing pipe.


🛠️ Required Model Assets

1. Diffusion Models (Lightspeed Variants)

2. LoRA Stack (DR34ML4Y V2)

3. Essential Components


🚀 The Triple-Engine Sampling Matrix

Toggle between these three engines based on your scene requirements:

1. "SWEATY REALISM" (Action & Fluid Physics)

BEST Option overall - Default

  • Best For: Raw, handheld-camera looks with intense skin texture and organic movement.

  • Sampler: euler_ancestral | Scheduler: normal

  • Steps: 14–16 | CFG: 4.0 | LoRA Strength: 0.7

2. "VOID / GLOSSY" (Fantasy & 3D)

With further testing this is an issued option, will update as I find an improvement

  • Best For: Smooth, glass-like obsidian skin and bioluminescent purple glows.

  • Sampler: dpmpp_2m | Scheduler: karras

  • Steps: 20–25 | CFG: 4.0 | LoRA Strength: 0.5

3. "CINEMATIC DETAIL" (The 8K Look)

With further testing this is an issued option, will update as I find an improvement

  • Best For: High-fidelity slow motion and intricate tattoo/pore detail.

  • Sampler: dpmpp_2m_sde | Scheduler: karras

  • Steps: 20 | CFG: 4.0 | LoRA Strength: 0.5


🛡️ VRAM Optimization & Safety (RTX 3080 Baseline)

Adhere to these rules to prevent "neon burn" artifacts on 12GB cards:

  • Weight Dtype: Always use fp8_e4m3fn in the model loader to manage the 14B model size.

  • Resolution Match (I2V): Video Output MUST match Input Image aspect ratio exactly (e.g., 640x960).

  • CFG Limit: Keep at 4.0; higher values cause neon burns and deep-fried pixels.

🚫 Physics & Anatomy Guard (Negative Prompt) Use this block to prevent "leaking" eyes and fluid clipping issues:

(cum in eyes:1.6), (milky eyes:1.5), (blind:1.4), (cataracts:1.4), (eye discharge:1.4), (fluid clipping through skin:1.5), (internal fluid:1.4), (cum in hair:1.3), (mesh glitch:1.3), (bad collision:1.3), (floating fluids:1.3), (static:1.5), (still image:1.5), (frozen:1.5), (noise:1.4), (grain:1.4), (static noise:1.4), (loop failure:1.3), (morphing:1.3), 色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走


🎬 Post-Processing Pipeline

The workflow concludes with a high-end finishing stage:

  • Frame Interpolation: Uses FL RIFE (rife49) with a 2x-3x multiplier to smooth motion to 32+ FPS.

  • Upscaling: Employs 4x-UltraSharp.pth model for final resolution enhancement.


🛠️ Troubleshooting Guide

  • Deep Fried / Neon Orange Artifacts: Reset CFG to 4.0. Ensure you are not pairing euler_ancestral with karras.

  • Slow Render Speeds (>150s/it): Your GPU is likely offloading to System RAM. Change weight_dtype to fp8_e4m3fn to fit the model in VRAM.

  • Fluids Leaking from Eyes: Ensure the Anatomy Guard is active; specifically (milky eyes:1.5) and (cum in eyes:1.6).

* I am not involved in the production of any of the models mentioned in this workflow. These are just what I built my workflow to use.

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