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disler disler

Create Image

Development community intermediate

Description

This command generates image(s) based on the provided prompt using Replicate.

Installation

Terminal
claude install-skill https://github.com/disler/agentic-drop-zones

README


name: Create Image allowed-tools: Bash, mcp__replicate__create_models_predictions, mcp__replicate__get_predictions description: Generate image(s) via Replicate

Create Image

This command generates image(s) based on the provided prompt using Replicate.

Variables

DROPPED_FILE_PATH: [[FILE_PATH]] DROPPED_FILE_PATH_ARCHIVE: agentic_drop_zone/generate_images_zone/drop_zone_file_archive/ IMAGE_OUTPUT_DIR: agentic_drop_zone/generate_images_zone/image_output// - This is the directory where all images will be saved - The date_time is the current date and time in the format YYYY-MM-DD_HH-MM-SS MODEL: google/nano-banana ASPECT_RATIO: 16:9

Workflow

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- Use `mcp__replicate__create_models_predictions` with the MODEL specified above - Pass image prompt as the prompt input - Use ASPECT_RATIO for the image dimensions - Wait for completion by polling `mcp__replicate__get_predictions` - Save the executed prompts to `IMAGE_OUTPUT_DIR//image_prompt_.txt` - Use the exact prompt that was executed in the `mcp__replicate__create_models_predictions` call - Download the image: `IMAGE_OUTPUT_DIR//_.jpg` - Display: - Generation time - File size - Full path to saved image - After all images are generated, open the output directory: `open IMAGE_OUTPUT_DIR//` - When you finish generating images, move the `DROPPED_FILE_PATH` into a `DROPPED_FILE_PATH_ARCHIVE` directory