This is a simplified guide to an AI model called P-Image-Edit maintained by Prunaai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
p-image-edit is a production-ready image editing model that completes edits in under one second. Built by prunaai, this model handles multi-image editing tasks with speed and precision. Unlike the text-to-image generation approach of p-image, this model takes existing images as references and applies targeted edits based on text descriptions. The architecture supports specialized editing modes through different weight configurations, making it flexible for various production workflows.
Model inputs and outputs
The model accepts images and natural language prompts to guide the editing process. Users provide reference images (with the main image first) and describe their desired edits clearly. The system then processes these inputs and returns an edited image. The model offers multiple editing modes and aspect ratio options to match different output requirements.
Inputs
- Prompt: Text description of the edit task, with the ability to reference specific images
- Images: Array of reference images for the editing process, with the main image listed first
- Replicate weights: Selection of editing task type, including options like relight, fusion, style consistency, and subject consistency
- Aspect ratio: Output dimensions, with options to match the input image or choose from standard formats like 1:1, 16:9, or 4:3
- Turbo: Performance mode that optimizes for speed, recommended to disable for complex edits
- Seed: Random seed value for reproducible results
- Disable safety checker: Option to bypass safety filtering
Outputs
- Output: A single edited image returned as a URI
Capabilities
This model handles specialized editing...
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