WAN2.2 ULTIMA 14B FP8 - I2V LOW
Recommended Negative Prompts
Image contains workflow
Recommended Parameters
samplers
steps
cfg
Tips
Use WAN2.2 native workflow for fast and efficient runs.
WAN2.2 Video Wrapper workflow provides better prompt alignment and more realistic visuals for cinematic realism.
Anchor always with Ksampler 1 = CLEAN HIGH.
Mix and match samplers to control stability, dreaminess, balance, or chaos.
Tweak CFG between 3–6 on later samplers for subtle motion and style shifts.
Version Highlights
This version includes Lightning and Seko lora's and should be used for the 3rd and 4th ksampler with CFG between 1 and 1.8 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.
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