ImageCreator

Generates or modifies image content directly within Photoshop's canvas using latent diffusion or similar generative models, operating on the active layer or selection without requiring export/import cycles. The plugin intercepts Photoshop's native layer data, sends it to backend inference servers, and composites results back into the document as non-destructive smart objects or rasterized layers, preserving the non-linear editing workflow.

Converts natural language descriptions into photorealistic or stylized images using a backend generative model (likely Stable Diffusion, proprietary variant, or licensed model). The plugin provides a text input interface within Photoshop, sends prompts to inference servers, and returns generated images as new layers or selections. May include prompt enhancement, style presets, or sampling parameter controls (steps, guidance scale, seed).

Applies artistic styles, color grading, or aesthetic transformations to existing images using neural style transfer, diffusion-based editing, or learned style embeddings. The plugin analyzes the source image and a style reference (or text description of style), then generates a stylized version that preserves content structure while applying the target aesthetic. May support preset styles (e.g., 'oil painting', 'cyberpunk', 'vintage film') or custom style references.

Automatically detects and removes image backgrounds using semantic segmentation or matting models, isolating the foreground subject and generating a transparent alpha channel. The plugin analyzes the image, predicts object boundaries, and outputs a layer with transparency or a layer mask. May support refinement tools (e.g., edge feathering, manual mask adjustment) or preset removal modes (e.g., 'person', 'product', 'animal').

Increases image resolution and detail using AI-based super-resolution models (e.g., Real-ESRGAN, proprietary variants) that reconstruct high-frequency detail from lower-resolution inputs. The plugin sends the image to backend inference servers, applies upscaling (typically 2x, 4x, or 8x), and returns the enhanced image as a new layer. May support multiple upscaling modes (e.g., 'photo', 'illustration', 'face') optimized for different content types.

Identifies and replaces specific objects or regions within an image using semantic understanding and inpainting. The plugin detects objects (e.g., 'person', 'car', 'building') via segmentation, allows users to select or describe replacements, and regenerates the selected region while maintaining spatial coherence and lighting consistency. May support object detection presets or free-form selection-based replacement.

Enables scripting or batch operations on multiple images using Photoshop's UXP/ExtendScript API, allowing users to apply ImageCreator capabilities (generation, upscaling, background removal) to image sequences or folders. The plugin exposes functions for programmatic access, enabling workflows like 'upscale all PNGs in folder', 'remove backgrounds from product images', or 'apply style to batch'. May support scheduled or triggered execution.

Implements a consumption-based billing model where each operation (generation, upscaling, background removal) consumes credits from the user's account. The plugin tracks usage in real-time, displays remaining credits in the UI, and enforces quota limits on free tier. May provide usage analytics, cost estimation per operation, and upgrade prompts when credits are low.