stable-diffusion-image-generation
Pass
Audited by Gen Agent Trust Hub on Sep 9, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: Fetches pre-trained machine learning models, embeddings, and style adapters from Hugging Face's official model hub.
- [EXTERNAL_DOWNLOADS]: Provides instructions to install performance-optimizing libraries such as xformers from the official Facebook Research GitHub repository.
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to process user-supplied text prompts for image generation in
SKILL.mdandreferences/advanced-usage.md. - Ingestion points:
promptandnegative_promptparameters in generation functions and API endpoints. - Boundary markers: Standard natural language prompt interpolation without specific delimiters.
- Capability inventory: Local file access for reading/writing images and network access for downloading model weights.
- Sanitization: The documentation explicitly references the use and configuration of the library's built-in
safety_checkerto filter outputs. - [DYNAMIC_EXECUTION]: Utilizes
torch.compilefor runtime model optimization to improve inference speed, which is a standard feature of the PyTorch framework. - [COMMAND_EXECUTION]: Includes standard instructions for setting up environments via
pipand deploying services using Docker and Kubernetes, matching the intended developer-focused use case.
Audit Metadata