Can I use this skill to edit existing images?

Yes, it includes detailed implementation guides for image-to-image translation, style transfer, and inpainting to modify or fill specific regions of an image.

How does the skill help with GPU memory limitations?

The skill provides specific code patterns for memory optimization, such as model CPU offloading, attention slicing, and VAE tiling to handle high-resolution generation on limited hardware.

Does it support spatial conditioning like poses or edges?

Yes, the skill includes comprehensive instructions for using ControlNet models to add spatial conditioning like Canny edges, depth maps, and human poses to your generations.

Which Stable Diffusion versions are supported by this skill?

This skill supports a wide range of models including Stable Diffusion 1.5, SDXL, SD 3.0, and the Flux architecture through the HuggingFace Diffusers library.

Stable Diffusion Image Generation

Name: Stable Diffusion Image Generation
Author: Orchestra-Research

byOrchestra-Research

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3,983

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Ciencia de Datos y ML

Generates high-quality images from text and performs advanced image-to-image transformations using the HuggingFace Diffusers library.

This skill provides a comprehensive framework for implementing state-of-the-art diffusion models within AI-driven workflows. It guides developers through the complexities of the HuggingFace Diffusers ecosystem, covering everything from basic text-to-image generation with SDXL and Flux to advanced techniques like inpainting, ControlNet spatial conditioning, and LoRA adapter integration. Whether you are building a creative AI application or automating visual asset production, this skill offers the technical patterns needed to optimize performance through memory management techniques like CPU offloading and attention slicing while maintaining precise control over visual output.

Características Principales

01Efficient fine-tuning and style adaptation with LoRA support

02Multi-model compatibility including SDXL, SD 3.0, and Flux

03Text-to-Image and Image-to-Image generation pipelines

04Memory optimization via CPU offloading and attention slicing

053,983 GitHub stars

06Advanced spatial control using ControlNet and Inpainting

Casos de Uso

01Automating visual content creation for marketing and social media

02Developing precise image editing workflows using depth and edge conditioning

03Building custom AI art generation platforms and creative tools

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add orchestra-research/ai-research-skills stable-diffusion

For use in Claude.ai and ChatGPT

Download Skill