Edit and transform images via the z-ai-web-dev-sdk with base64 outputs.
npx skills add https://github.com/jitenkr2030/AutoReel-AI --skill image-edit
Please help me install this Agent Skill. Skill: image-edit Source: https://github.com/jitenkr2030/AutoReel-AI/tree/main/skills/image-edit Command: npx skills add https://github.com/jitenkr2030/AutoReel-AI --skill image-edit
This Skill enables automated AI-based image editing and modification, eliminating manual, repetitive editing tasks and accelerating asset redesign.
Use the image-edit skill to transform an image by providing a source image URL or file path, a detailed edit prompt, and an output path. Check the {Skill Location}/scripts/image-edit.ts for a runnable example or use the CLI: z-ai image-edit --prompt "<your edit>" --image "<path-or-url>" --output "<path>" --size 1024x1024
High-intent search queries and answers about installing and using this skill.
You can automate AI image editing by running the included CLI tool with a text prompt, source image path or URL, and desired output dimensions to generate modified visual assets. The CLI uses the z-ai-web-dev-sdk to process the edits and return base64-encoded images.
AI style transfer applies different artistic styles to an existing visual while preserving its core composition. This allows you to generate multiple image variations automatically by providing text prompts instead of performing manual redesigns.
Yes, the z-ai-web-dev-sdk supports backend automated image processing by accepting source images and edit prompts, then returning base64-encoded results. This allows backend scripts to handle image transformations without manual intervention.
Yes, you can generate marketing assets in multiple common output sizes by specifying the dimensions in your CLI command. The script processes your source image and edit prompt to produce correctly scaled variations for your campaigns.
The best way to transform product imagery is passing a source image URL or file path alongside a detailed edit prompt to an AI script. This eliminates repetitive manual editing tasks and accelerates asset redesign for product marketing.
Base64-encoded results are used to seamlessly pass transformed image data directly within backend API responses and scripts. This format ensures the automated image editing output can be easily handled and saved without needing temporary public URLs.
atro2829-hubEdit images via text-driven transformations using the z-ai-web-dev-sdk.
nidhalboumaiza-0Generate base64-encoded images from text prompts via z-ai-web-dev-sdk.
marktantongcoEdit images and generate variations using the z-ai-web-sdk.
zeroix07Edit images via text prompts with the z-ai-web-dev-sdk.
