MirageML/MirageStock
Open-Source Implementations of Multi-Modal Diffusion Models Optimized for Highest Quality and Ease of Use
MirageStock provides a free, open-source collection of high-quality images, audio, video, and 3D models. It offers a convenient way for creators to find and integrate diverse media assets into their digital projects. This resource is designed for graphic designers, video editors, game developers, and other digital content creators looking for royalty-free stock assets.
198 stars. No commits in the last 6 months.
Use this if you need to quickly access and incorporate a variety of media assets like images, sounds, videos, or 3D models into your creative projects without licensing fees.
Not ideal if you require highly specialized, niche assets or custom-made content that isn't typically found in a general stock library.
Stars
198
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 26, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/MirageML/MirageStock"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
PrunaAI/pruna
Pruna is a model optimization framework built for developers, enabling you to deliver faster,...
bytedance/LatentSync
Taming Stable Diffusion for Lip Sync!
haoheliu/AudioLDM-training-finetuning
AudioLDM training, finetuning, evaluation and inference.
Text-to-Audio/Make-An-Audio
PyTorch Implementation of Make-An-Audio (ICML'23) with a Text-to-Audio Generative Model
teticio/audio-diffusion
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead...