p-image-edit
P-Image Edit enables professional-grade image editing and compositing with extremely fast inference times. It supports multi-image conditioning and precise instruction-following for production workflows.
api_example.sh
Technical Specifications
Model Architecture & Performance
Pricing
Pay-per-use, no commitments
API Reference
Complete parameter documentation
| Parameter | Type | Default | Description |
|---|---|---|---|
| aspect_ratio | string | 16:9 | Output aspect ratio. Options: match_input_image, 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3. |
| seed | number | 1 | Random seed for reproducible image edits and compositions. |
| disable_safety_checker | boolean | false | Optional flag to disable the built-in safety checker for generated images. |
| response_format | string | url | Format of the generated image response. Options: url (default), base64. |
Explore the full request and response schema in our external API documentation
Performance
Strengths & considerations
| Strengths | Considerations |
|---|---|
| Supports 1-5 reference images Strong instruction and prompt adherence Sub-second inference High visual fidelity | Requires input images (not text-only) No official Hugging Face model card available |
Use cases
Recommended applications for this model
Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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