neverix / text2voxels
Generate 3D voxels from text with AI
☆18Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for text2voxels
- GET3D online data renderer☆11Updated last year
- Unified API to facilitate usage of pre-trained "perceptor" models, a la CLIP☆39Updated last year
- Generate images from an initial frame and text☆37Updated last year
- Floral Diffusion is a custom diffusion model trained by jags using a DD 5.6 version☆26Updated 2 years ago
- open source ClipMatrix for fixed input mesh without posing☆22Updated 2 years ago
- Text-to-video generation.☆19Updated 2 years ago
- ☆30Updated last year
- Text-to-video generation.☆10Updated 2 years ago
- cheap views of intermediate Stable Diffusion results☆45Updated 2 years ago
- openai guided diffusion tweaks☆52Updated 2 years ago
- Majesty Diffusion by @Dango233 and @apolinario (@multimodalart)☆25Updated 2 years ago
- ☆32Updated last year
- Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.☆59Updated 2 years ago
- Text-Guided Generation of Full-Body Image with Preserved Reference Face for Customized Animation☆22Updated 4 months ago
- ☆14Updated 3 years ago
- ☆18Updated 2 years ago
- ☆26Updated 5 months ago
- adaptation of huggingface's dreambooth training script to support depth2img☆101Updated last year
- jupyter/colab implementation of stable-diffusion using k_lms sampler, cpu draw manual seeding, and quantize.py fix☆38Updated 2 years ago
- VQGAN+CLIP with some additional tuning. For notebooks and the command line.☆50Updated 3 years ago
- Using oblique decision trees to represent 3D shapes☆19Updated last year
- ☆52Updated last year
- Repository with which to explore k-diffusion and diffusers, and within which changes to said packages may be tested.☆55Updated 9 months ago
- ☆27Updated last year
- ☆19Updated 2 years ago
- ☆35Updated 2 years ago
- ☆29Updated last year
- Controlling diffusion-based image generation with just a few strokes☆56Updated 10 months ago