WAN2.2 ULTIMA 14B FP8 - I2V CLEAN HIGH
추천 프롬프트
Image contains workflow and prompt - 18 years old girl drops her pants down and revealing her naked ass - anus and pussy. She turns around revealing her cute face. She has long straigh blond and pink hair. Keywords: realistic, real time motion.
추천 네거티브 프롬프트
Image contains workflow and prompt
추천 매개변수
samplers
steps
cfg
팁
Use WAN2.2 Native workflow for fast and efficient execution.
WAN2.2 Video Wrapper workflow delivers better prompt alignment and more realistic visuals, especially with motion-oriented models.
Always anchor with Ksampler 1 = CLEAN HIGH for best results.
Mix and match samplers after anchoring for desired style: stability, dreaminess, balance, or chaos.
Tweak CFG between 3–6 on later samplers for subtle motion and style shifts.
버전 하이라이트
This is a clean version. It does not include any lora's and should be used for the first ksampler with CFG between 3.5 and 4.5 for better motion/prompt output,etc.
Note: I2V Workflow by: Kyosukepure
https://civitai.com/models/1864506/wan-22-i2v-faster-motions-6-step-lightx2v-workflow
WAN2.2 ULTIMA 14B T2V & I2V — Low VRAM FP8 Edition
📝 Overview
WAN2.2 ULTIMA is a low-VRAM optimized hybrid of Wan2.2 T2V High & Low Noise with carefully tuned LoRAs, built to run efficiently in FP8 while preserving cinematic visuals, motion stability, and Lightning-fast 4-step convergence.
This model has been tested across six different builds before release, resulting in a stable, refined version that delivers smooth motion without sacrificing quality.
⚡ Core Setup
Base: Wan2.2 T2V High & Low Noise (14B, FP8/FP16 friendly)
LoRAs Applied:
Wan2.2-Lightning_T2V-v1.1-A14B-4steps-lora_HIGH_fp16 → (Strength: 0.45)
Wan2.2-Lightning_T2V-v1.1-A14B-4steps-lora_LOW_fp16 → (Strength: 0.45)
Enables true 4-step speed with crisp detail.
Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1-HIGH_NOISE → (Strength: 0.20)
Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1-LOW_NOISE → (Strength: 0.20)
Adds motion energy and prevents the “slow-motion look.”
Wan2.2-Fun-A14B-InP-high-noise-MPS → (Strength: 0.15)
Wan2.2-Fun-A14B-InP-low-noise-MPS → (Strength: 0.15)
Enhances flow & expressiveness in frame-to-frame motion.
Base: Wan2.2 I2V High & Low Noise (14B, FP8/FP16 friendly)
LoRAs Applied:
Wan2.2-Lightning_I2V-A14B-4steps-lora_HIGH_fp16 → (Strength: 0.45)
Wan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16 → (Strength: 0.45)
Enables true 4-step speed with crisp detail.
Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1_HIGH → (Strength: 0.35)
Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1_LOW → (Strength: 0.35)
Adds motion energy and prevents the “slow-motion look.”
🔧 Key Improvements
✅ Low VRAM optimized — works under 16 GB VRAM with fp8_e4m3fn precision.
✅ Fast rendering — 4-step Lightning efficiency maintained.
✅ Fluid motion — balanced LoRA blend avoids the usual Lightning “pose lock” and slow-motion artifacts.
✅ Cinematic visuals — detailed, consistent frames without over-cooked sharpness or contrast.
🛠 Workflow Notes
WAN2.2 Native workflow → Runs well, fast, and efficient.
WAN2.2 Video Wrapper workflow → Produces better prompt alignment and more realistic visuals, especially when combined with motion-oriented models aka High and Low noise Vace (without using the wanvace2video)
Recommended if you’re pushing for cinematic realism and stronger adherence to storytelling prompts
🎚 Recommended KSampler Setup for T2V
Dual KSampler chain tested for WAN2.2 ULTIMA:
KSampler 1 (Noise Init)
steps: 8 ( step: 10 is better ofcouse but takes lil bit longer)cfg: 1.5sampler_name: eulerscheduler: simpleadd_noise: enablecontrol before generate: randomizestart_at_step: 0end_at_step: 4return_with_leftover_noise: enable
KSampler 2 (Refinement)
steps: 8 ( step: 10 is better ofcouse but takes lil bit longer)cfg: 1.5sampler_name: uni_pc_bh2scheduler: normaladd_noise: disablecontrol before generate: fixedstart_at_step: 4end_at_step: 10000return_with_leftover_noise: enable (You can disable this but i prefer keeping it enabled)
🎚 Recommended KSampler Setup for I2V
See Image which contains the I2V workflow.
🚀 Wan2.2 ULTIMA Experiments for Wanvideo2Image
I’ve been testing the Wan2.2 ULTIMA 14B F8 Low & High Noise models (T2V + I2V) inside Wanvideo2Image, and the results are 🔥.
Important:
👉 Ksampler 1 should always be Wan2.2 ULTIMA I2V 14B F8 CLEAN HIGH (uploaded here).
This model has no baked-in LoRAs, making it perfect for the “foundation pass.”
Keep CFG ~3–4 here for smooth motion + strong prompt response.
After that, you can stack/mix I2V High/Low and T2V High/Low models. Each combo changes how motion, texture, and coherence play out.
⚡ Example 1 — Stable Cinematic
Ksampler 1: ULTIMA I2V CLEAN HIGH
Ksampler 2: ULTIMA I2V HIGH
Ksampler 3: ULTIMA I2V HIGH
Ksampler 4: ULTIMA I2V LOW
💡 Result: Strong structure + cinematic motion. “High + High” builds detail and energy, while the final Low smooths transitions so it feels stable and film-like.
⚡ Example 2 — Dreamlike Flow
Ksampler 1: ULTIMA I2V CLEAN HIGH
Ksampler 2: ULTIMA I2V HIGH
Ksampler 3: ULTIMA T2V LOW
Ksampler 4: ULTIMA T2V LOW
💡 Result: Adds a flowing, dreamlike quality. The T2V LOW samplers inject organic fluidity, making results feel painterly and surreal. Perfect for fantasy/artistic prompts.
⚡ Example 3 — Balanced Hybrid
Ksampler 1: ULTIMA I2V CLEAN HIGH
Ksampler 2: ULTIMA I2V HIGH
Ksampler 3: ULTIMA I2V LOW
Ksampler 4: ULTIMA T2V LOW
💡 Result: Structure up front, looseness later. Great if you want characters to stay recognizable while backgrounds or effects evolve with more freedom.
⚡ Example 4 — Controlled Chaos
Ksampler 1: ULTIMA I2V CLEAN HIGH
Ksampler 2: ULTIMA T2V HIGH
Ksampler 3: ULTIMA T2V LOW
Ksampler 4: ULTIMA I2V LOW
💡 Result: Adds punchy, chaotic motion (T2V HIGH), softens it with T2V LOW, then stabilizes everything with I2V LOW. Feels like a dynamic camera shot that still keeps coherence.
🧪 Final Notes
Always anchor with Ksampler 1 = CLEAN HIGH.
Mix/match after that depending on whether you want stability, dreaminess, balance, or chaos.
Tweak CFG between 3–6 on later samplers for subtle motion/style shifts.
⚠️ Disclaimer
I do not claim authorship of Wan2.2 or the LoRAs used in this merge.
Full credit to the original model and LoRA creators — please support them on their pages.
This release is a merge + tuning effort to help the community run Wan2.2 with lower VRAM requirements.
💡 Notes
Results may vary depending on workflow, sampler, fps settings, and hardware.
This version is stable and production-ready — tested across multiple setups and iterations.
Feedback and comparisons are welcome to further improve future merges.