PixelPet

Generates images directly within Photoshop's canvas using natural language prompts, integrated as a plugin that communicates with backend ML inference servers. The plugin intercepts generation requests, sends prompts to cloud-hosted diffusion models, and returns rendered images as new Photoshop layers, preserving the non-destructive editing paradigm. This eliminates context-switching between Photoshop and external AI tools by embedding generation directly into the layer panel workflow.

Allows designers to select regions within existing Photoshop images and regenerate or modify those areas using inpainting models. The plugin detects layer masks or selection boundaries, sends the masked image region plus a text prompt to inpainting inference endpoints, and returns a seamlessly blended result that respects the surrounding context. This preserves the original image structure while intelligently filling or modifying selected areas.

Generates multiple image variations from a single prompt by automatically varying parameters like composition, style, lighting, or color palette across a batch. The plugin queues multiple generation requests with systematically modified prompts or seed variations, collects results asynchronously, and organizes them into a Photoshop layer group for easy comparison. This enables rapid exploration of design directions without manual prompt re-entry.

Accepts a reference image (e.g., a photograph, artwork, or design sample) and uses it to guide the style, color palette, or composition of newly generated images. The plugin encodes the reference image into a style embedding, combines it with a text prompt, and sends both to a conditional generation model that produces images matching the reference aesthetic. This enables designers to maintain visual consistency across generated assets.

Increases the resolution of generated or existing images using super-resolution neural networks, allowing designers to scale low-resolution AI outputs to print-ready dimensions. The plugin sends images to upscaling inference endpoints that reconstruct detail and texture, supporting 2x, 4x, or 8x upscaling factors. Results are returned as new high-resolution layers, preserving the original for comparison.

Provides a live preview panel within Photoshop that shows generation results as parameters (prompt, style, composition hints) are adjusted in real-time. The plugin debounces user input, sends updated prompts to inference endpoints, and streams preview images back to the Photoshop UI without blocking the main editing workflow. This enables rapid experimentation without committing to full-resolution generation.

Tracks generation credits consumed per operation (generation, inpainting, upscaling, etc.), displays remaining balance within Photoshop, and manages subscription tier upgrades. The plugin maintains a local cache of credit usage and syncs with backend servers to enforce rate limits and prevent overage. Designers can view detailed usage breakdowns by operation type and time period.

Allows multiple designers to share generated images and generation parameters within a Photoshop project or team workspace. The plugin stores generation metadata (prompt, parameters, reference images) alongside generated assets, enabling team members to reproduce or iterate on each other's generations. Shared projects sync generation history and allow commenting on specific generated assets.