x-stable-diffusion
Real-time inference for Stable Diffusion - 0.88s latency
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
x-stable-diffusion offers real-time inference for Stable Diffusion with a latency of 0.88 seconds, leveraging AITemplate, nvFuser, TensorRT, and FlashAttention.
Good fit when
- When you need real-time inference with a latency as low as 0.88 seconds for Stable Diffusion models.
- If your project requires integration with AITemplate, nvFuser, TensorRT, or FlashAttention for optimized performance.
Avoid when
- If your project does not require real-time inference or can tolerate higher latency.
- When you are working in an environment that does not support CUDA, as x-stable-diffusion heavily relies on CUDA for performance.
- Hosting:
- unknown - The repository does not specify the hosting model for the tool.
- Requirements:
- Min 8 GB RAM; Requires Docker; Requires CUDA for optimal performance.; Supports deployment via Jupyter Notebook.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Archived (1018d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/stochasticai/x-stable-diffusionHow it fits your stack(1)
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Overview
Provides real-time inference solutions for Stable Diffusion using AITemplate, nvFuser, TensorRT, and FlashAttention.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Sep 18, 2026
Categories
Tags
README
Manual deployment Check the of the following directories: AITemplate FlashAttention nvFuser PyTorch TensorRT
For agents
This page has a .md twin and JSON over the API.