hnsywangxin/controlnet_stable_tensorrt
stable diffusion, controlnet, tensorrt, accelerate
This project helps developers accelerate the image generation process using Stable Diffusion with ControlNet. It takes a text prompt and ControlNet conditioning images as input, and outputs high-quality images much faster. Developers and MLOps engineers working with AI art generation or large-scale synthetic data creation would find this useful.
110 stars. No commits in the last 6 months.
Use this if you need to generate images with Stable Diffusion and ControlNet significantly faster, especially for workflows requiring high throughput on NVIDIA GPUs.
Not ideal if you are working with limited GPU memory (it requires around 30GB VRAM) or if you need to generate images at resolutions other than 512x512.
Stars
110
Forks
19
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 28, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/hnsywangxin/controlnet_stable_tensorrt"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related models
a-lgil/pose-depot
A collection of ControlNet poses
city96/SD-Latent-Upscaler
Upscaling stable diffusion latents using a small neural network.
camenduru/ControlNet-v1-1-nightly-colab
controlnet v1.1 colab
360CVGroup/RelaCtrl
Efficient controlnet for DiTs
Haoming02/FIRST
Frame Interpolation Refined with Stable Diffusion via Control Net