stable-diffusion-image-generation
Pass
Audited by Gen Agent Trust Hub on Jun 29, 2026
Risk Level: SAFE
Full Analysis
- [COMMAND_EXECUTION]: The skill documents standard installation procedures for machine learning dependencies including
diffusers,transformers,accelerate, andtorchvia Python's package manager. - [EXTERNAL_DOWNLOADS]: The skill uses official HuggingFace methods (
from_pretrained) to download pre-trained weights and configurations from the Hugging Face Model Hub, which is the industry standard for these libraries. - [REMOTE_CODE_EXECUTION]: The troubleshooting section suggests installing the
xformerslibrary directly from the Facebook Research official GitHub repository to enable memory-efficient attention mechanisms. - [SAFE]: The documentation includes instructions on how to disable the model's safety checker (
pipe.safety_checker = None) to prevent output filtering; while this bypasses content safety filters, it is a well-documented technical configuration for research and local development. - [SAFE]: The skill provides templates for deploying the model as a FastAPI web service and within Docker/Kubernetes environments, which follow standard software engineering best practices for model serving.
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