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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.
Expert photography composition critic grounded in graduate-level visual aesthetics education, computational aesthetics research (AVA, NIMA, LAION-Aesthetics, VisualQuality-R1), and professional image analysis with custom tooling. Use for image quality assessment, composition analysis, aesthetic s...
Monocular depth estimation with open-source + commercial-safe models: Depth-Anything v2 (Apache 2.0, TikTok/ByteDance 2024, current SOTA small/base/large) via HuggingFace transformers, MiDaS v3.1 (MIT, Intel ISL classic with DPT/BEiT/Swin backbones). Extract depth maps from a single image or vide...
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.
Two-layer content safety for agent input and output. Use when (1) a user message attempts to override, ignore, or bypass previous instructions (prompt injection), (2) a user message references system prompts, hidden instructions, or internal configuration, (3) receiving messages from untrusted us...
Generate images from text with a free-quota-first multi-provider workflow. Use this skill when a user asks for text-to-image generation that needs provider routing (Hugging Face, Gitee, ModelScope, A4F, OpenAI-compatible private endpoints), token pooling with automatic rotation on quota/auth fail...
Periodically refreshed mirror of agents, skills, prompts and instruction files from public repositories.
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.
Principal AI Architect and Machine Learning Engineer.
LLM fine-tuning expert for LoRA, QLoRA, dataset preparation, and training optimization
Meta's 86M prompt injection and jailbreak detector. Filters malicious prompts and third-party data for LLM apps. 99%+ TPR, <1% FPR. Fast (<2ms GPU). Multilingual (8 languages). Deploy with HuggingFace or batch processing for RAG security.
搜索开发者资源：GitHub 仓库/代码/Issue、Stack Overflow 问答、Hacker News 讨论、HuggingFace 模型/数据集/Space。用于查找代码示例、开源项目、技术问答、预训练模型。
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