IDEA-Research/HumanSD
[ICCV 2023] The official implementation of paper "HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation"
This project helps graphic designers, artists, and marketers create realistic and stylized images of people with precise control over their poses. You input a text description (like "oil painting of girls dancing") and a skeleton image defining the desired pose. The output is a high-quality human image that accurately matches both the text description and the specific body posture you provided.
306 stars. No commits in the last 6 months.
Use this if you need to generate images of people in specific, complex poses for artistic projects, marketing materials, or visual content creation.
Not ideal if you need to generate images without specific human poses or if your primary focus is on editing existing images rather than generating new ones.
Stars
306
Forks
22
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 24, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/IDEA-Research/HumanSD"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
bghira/SimpleTuner
A general fine-tuning kit geared toward image/video/audio diffusion models.
mcmonkeyprojects/SwarmUI
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an...
nateraw/stable-diffusion-videos
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
TheDesignFounder/DreamLayer
Benchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.