Stable Diffusion Image Generation
技能 已验证 活跃State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
Generate high-quality images from text prompts and other inputs using state-of-the-art diffusion models.
功能
- Text-to-image generation
- Image-to-image translation
- Inpainting and outpainting
- ControlNet and T2I-Adapter conditioning
- LoRA adapter support for fine-tuning styles
- SDXL and SD 3.0 model support
- Memory optimization techniques
- Image upscaling and refinement
使用场景
- Generating artwork from descriptive prompts
- Transforming existing photos with new styles
- Editing or extending images by filling masked areas
- Creating visual content for presentations and projects
- Building custom image generation pipelines
非目标
- Real-time video generation
- Direct image editing without AI assistance
- Serving models in a production API without additional setup
安装
请先添加 Marketplace
/plugin marketplace add Orchestra-Research/AI-Research-SKILLs/plugin install AI-Research-SKILLs@ai-research-skills质量评分
已验证类似扩展
Stable Diffusion Image Generation
95State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
Baoyu Imagine
99AI image generation with OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
Transformers
98This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Hf Cli
100Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.
Generate Social Media Book Promo
100Generate a vertical story image for TikTok or Instagram book promotion with cover art, hook text, and author branding.
Generate Real Estate Listing Graphic
100Generate a branded property listing graphic with a property photo, status badge, price, address, and key stats.