Use for generative modeling of images and audio: text-to-image, image editing or image-to-image, unconditional image generation, inpainting, super-resolution, style transfer, and audio or music generation, including fine-tuning or personalizing a base model. Picks diffusion vs GAN, the right adaptation method, and generation-specific evaluation. For text generation use domain-nlp-llm instead. Triggers on 'generate images', 'text to image', 'diffusion', 'stable diffusion', 'GAN', 'image editing', 'inpainting', 'super resolution', 'synthesize', 'DreamBooth', 'LoRA image'.
$npx -y skills add mxslr/mlcraft --skill domain-generativeInstalls into the current project.
Run `npx skills use "https://github.com/mxslr/mlcraft" --skill "mxslr/mlcraft/domain-generative"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mxslr/mlcraft" that are relevant to the current task. Run `npx skills add "https://github.com/mxslr/mlcraft"` and select the relevant skills, then follow their instructions.