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lora-support

lora-support

Wan 2.1 I2V 480P Ultra-Fast With LoRA Support

wavespeed-ai/wan-2.1/i2v-480p-lora-ultra-fast

Wan 2.1 i2v 480p Ultra-Fast generates unlimited image-to-video content at 480p, supporting custom LoRAs for style personalization. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Input

Hint: You can drag and drop a file or click to upload

preview
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Remade-AI/Squish
Remade-AI/Rotate
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Idle

您的請求將花費 $0.125 每次運行。

使用 $10 您可以運行此模型大約 80 次。

示例查看全部

README

Wan 2.1 I2V 480p LoRA Ultra Fast — wavespeed-ai/wan-2.1/i2v-480p-lora-ultra-fast

Wan 2.1 I2V 480p LoRA Ultra Fast is a fast, cost-efficient image-to-video model that animates a single reference image into a short clip guided by your prompt. It supports LoRA injection so you can enforce a specific motion/style/character look while keeping generation lightweight—great for rapid iteration, previews, and high-volume variants.

Key capabilities

  • Image-to-video (I2V) generation at 480p
  • Prompt-driven motion with coherent, image-anchored composition
  • LoRA support for consistent style, motion patterns, or character look
  • Tunable quality/speed via inference steps
  • Great for quick drafts, storyboards, and large-scale A/B testing

Use cases

  • Quick animation passes for key art, avatars, and character cards
  • Motion experiments (e.g., 360° rotation, walk cycles, subtle facial motion) using LoRAs
  • Fast concept validation for ads and social loops
  • Batch generation of multiple motion variants from the same image
  • Previews before re-running at higher resolution (720p/1080p)

Pricing

ResolutionDurationPrice per runEffective price per second
480p5s$0.125$0.025/s
480p10s$0.188$0.019/s

Inputs

  • image (required): reference image that anchors subject and composition
  • prompt (required): action + camera + motion intent
  • loras (optional): LoRA items to apply (path + scale)

Parameters

  • duration: clip length (commonly 5s or 10s)
  • num_inference_steps: sampling steps (higher can improve motion coherence)
  • guidance_scale: prompt adherence strength
  • flow_shift: motion behavior tuning
  • negative_prompt: what to avoid (blur, jitter, artifacts, low quality)
  • seed: set for reproducible results (-1 for random)
  • size: output size preset (e.g., 832×480)
  • loras[].path: LoRA identifier (e.g., creator/name) or a safetensors URL
  • loras[].scale: LoRA strength (start around 0.8–1.0)

Prompting guide (I2V)

Keep the prompt like a director note:

  • Subject: what’s on screen
  • Motion: what changes over time (spin, turn, step forward, hair movement)
  • Camera: locked-off / slow push-in / orbit / handheld, etc.
  • Constraints: “smooth motion”, “no camera shake”, “keep character consistent”

Example prompt

Felt doll standing on a grassy field. The doll slowly rotates for a full 360-degree turn with smooth motion, stable framing, no jitter. Soft daylight, shallow depth of field, gentle background bokeh.