kfirgoldberg/ConceptLab
Official Implementation for "ConceptLab: Creative Generation using Diffusion Prior Constraints"
This project helps artists, designers, and marketers generate entirely new, imaginary concepts or visual styles that have never been seen before. You provide a broad category (like "pet" or "art style"), and it outputs unique images of novel creations within that category. This is for professionals who need to develop distinctive visual ideas for creative projects.
255 stars. No commits in the last 6 months.
Use this if you need to invent a unique visual concept, creature, or art style that stands out from existing examples, or if you want to blend distinct visual traits from multiple existing concepts into a novel hybrid.
Not ideal if you primarily need to generate realistic images of common objects or well-known entities, or if you are looking to make minor modifications to existing images.
Stars
255
Forks
16
Language
Python
License
MIT
Category
Last pushed
Dec 19, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/kfirgoldberg/ConceptLab"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
UCSC-VLAA/story-iter
[ICLR 2026] A Training-free Iterative Framework for Long Story Visualization
PaddlePaddle/PaddleMIX
Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks,...
keivalya/mini-vla
a minimal, beginner-friendly VLA to show how robot policies can fuse images, text, and states to...
adobe-research/custom-diffusion
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
byliutao/1Prompt1Story
🔥ICLR 2025 (Spotlight) One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation...