shonenkov-AI / rudalle-aspect-ratio
☆130Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for rudalle-aspect-ratio
- ☆83Updated 2 years ago
- artistic stylegan3 datasets and models we created during our ongoing stylegan3 trip.☆36Updated 2 years ago
- CLOOB Conditioned Latent Diffusion training and inference code☆112Updated 2 years ago
- High-Resolution Image Synthesis with Latent Diffusion Models☆62Updated 2 years ago
- Repo for structured dreaming☆55Updated 2 years ago
- ☆26Updated 3 years ago
- A CLI tool for using GLIDE to generate images from text.☆68Updated 2 years ago
- Image restoration with neural networks but without learning.☆46Updated 2 years ago
- jupyter/colab implementation of stable-diffusion using k_lms sampler, cpu draw manual seeding, and quantize.py fix☆38Updated 2 years ago
- A Real-ESRGAN equipped Colab notebook for CLIP Guided Diffusion☆81Updated 2 years ago
- RUDOLPH: One Hyper-Tasking Transformer can be creative as DALL-E and GPT-3 and smart as CLIP☆253Updated last year
- Deep learning toolkit for image, video, and audio synthesis☆108Updated last year
- Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt☆136Updated 10 months ago
- stylegan3_blending☆39Updated 2 years ago
- ☆34Updated 2 years ago
- Achieving photorealistic quality by scaling up StyleGAN2☆180Updated 3 years ago
- Buckle up, adventure in the styleGAN2-ada-pytorch network latent space awaits☆59Updated 3 years ago
- ☆28Updated 2 years ago
- A notebook for text-based guided image generation using StyleGANXL and CLIP.☆56Updated last year
- checkpoints for glide finetuned on laion and other datasets. wip.☆50Updated 2 years ago
- ☆133Updated last year
- combination of OpenAI GLIDE and Latent Diffusion☆136Updated 2 years ago
- Yet Another Diffusion Automation☆13Updated 2 years ago
- A simple library that implements CLIP guided loss in PyTorch.☆77Updated 2 years ago
- Anim·E, Anime Enhanced dalle mini☆41Updated 2 years ago
- Local image generation using VQGAN-CLIP or CLIP guided diffusion☆101Updated 2 years ago
- [ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.☆232Updated 2 years ago
- Start here☆110Updated 9 months ago
- Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.☆59Updated 2 years ago
- Colabs Collection of style transfer in photo and video☆86Updated 3 years ago