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Wan 2.1 | Image to Video | 720P

Accelerated inference for Wan 2.1 I2v 720P image to video with high resolution, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation.

Avg Run Time: 130.000s

Model Slug: wan-2-1-i2v-720p

Category: Image to Video

Input

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Output

Example Result

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Each execution costs $1.25. With $5 you can run this model about 4 times.

Create a Prediction

Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.

Get Prediction Result

Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.

Table of Contents
Overview
Technical Specifications
Key Considerations
Tips & Tricks
Capabilities
What Can I Use It For?
Things to Be Aware Of
Limitations

Overview

Wan 2.1 I2V 720P is a model designed for generating high-quality videos from images based on textual descriptions. It supports frame-by-frame video generation with various customization options, enabling users to control the number of frames, resolution, sampling methods, and other parameters.

Technical Specifications

Optimization: Fine-tuned for generating smooth, natural-looking animations from static images

Use Case Suitability: Well-suited for animation prototyping, AI-assisted motion generation, and concept visualization

Processing Modes: Multiple settings (Off, Balanced, Fast, Ultra-fast) to optimize speed and quality

Training Data: Trained on high-quality image and motion datasets to ensure realistic frame transitions

Key Considerations

  • Wan 2.1 I2V 720P generates longer videos may require higher computation time and may impact consistency between frames.
  • Lower sample_steps values can speed up processing but may reduce detail in frames.
  • sample_guide_scale and sample_shift can significantly affect output quality; lower values maintain fidelity, while higher values introduce variations.
  • fast_mode settings affect processing time and quality trade-offs; use higher speeds only when necessary.

Tips & Tricks

  • Optimal Frame Settings: Use num_frames = 81 and frames_per_second = 16 for a good balance between length and smoothness.
  • Best Resolution Choice: Stick to 1280x720 or 720x1280 to avoid stretching or cropping artifacts.
  • Fine-tuning Sampling: Set sample_steps between 30-40 for detailed output; lower values speed up generation but reduce detail.
  • Adjusting Guidance Scale: For subtle refinements, use sample_guide_scale in the range of 4-7. Higher values can lead to exaggerated changes.
  • Using Fast Mode: If prioritizing quality, keep fast_mode at Balanced or Off; for quick drafts, Ultra-fast can be used.
  • Controlling Variability: sample_shift values between 3-7 offer a balance between stability and diversity in frame transitions.

Capabilities

  • with Wan 2.1 I2V 720P, you can convert static images into fluid motion sequences.
  • Supports different resolutions and frame rate configurations.
  • Provides adjustable sampling and guide settings for better control over the output.
  • Wan 2.1 I2V 720P can generate a variety of motion styles depending on input parameters.

What Can I Use It For?

  • Animation Prototyping: Creating short animated clips from static images.
  • Content Creation: Enhancing illustrations or AI-generated art with movement.
  • Concept Visualization: Generating quick motion previews for storytelling or presentations.
  • AI-Assisted Creativity: Exploring new ways to animate characters, objects, and scenes.

Things to Be Aware Of

  • Experiment with sample_steps = 35 and sample_guide_scale = 5 for a refined balance of detail and efficiency.
  • Use different fast_mode settings to compare speed vs. quality trade-offs.
  • Modify seed values to generate different variations of the same prompt.
  • Try varying num_frames between 40-81 to test different video lengths.
  • Adjust sample_shift values to introduce subtle motion variations for more dynamic results.

Limitations

  • Wan 2.1 I2V 720P may struggle with extreme motion consistency in long sequences.
  • High sample_guide_scale values may lead to unnatural artifacts.
  • Output quality depends on the clarity of the input image; low-quality inputs may produce less desirable results.
  • Processing time increases with higher frame counts and detailed sampling settings.


Output Format: MP4

Pricing Detail

This model runs at a cost of $1.25 per execution.

Pricing Type: Fixed

The cost remains the same regardless of which model you use or how long it runs. There are no variables affecting the price. It is a set, fixed amount per run, as the name suggests. This makes budgeting simple and predictable because you pay the same fee every time you execute the model.