shonenkov-AI / rudalle-aspect-ratio
☆130Updated 2 years ago
Alternatives and similar repositories for rudalle-aspect-ratio:
Users that are interested in rudalle-aspect-ratio are comparing it to the libraries listed below
- ☆83Updated 2 years ago
- A Real-ESRGAN equipped Colab notebook for CLIP Guided Diffusion☆83Updated 3 years ago
- RUDOLPH: One Hyper-Tasking Transformer can be creative as DALL-E and GPT-3 and smart as CLIP☆254Updated 2 years ago
- artistic stylegan3 datasets and models we created during our ongoing stylegan3 trip.☆36Updated 3 years ago
- Repo for structured dreaming☆55Updated 2 years ago
- Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt☆137Updated last year
- 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
- High-Resolution Image Synthesis with Latent Diffusion Models☆61Updated 2 years ago
- combination of OpenAI GLIDE and Latent Diffusion☆136Updated 3 years ago
- A CLI tool for using GLIDE to generate images from text.☆68Updated 2 years ago
- ☆26Updated 3 years ago
- ☆135Updated last year
- ☆34Updated 2 years ago
- checkpoints for glide finetuned on laion and other datasets. wip.☆50Updated 2 years ago
- Local image generation using VQGAN-CLIP or CLIP guided diffusion☆102Updated 2 years ago
- A simple library that implements CLIP guided loss in PyTorch.☆77Updated 3 years ago
- stylegan3_blending☆39Updated 3 years ago
- ☆28Updated 2 years ago
- Achieving photorealistic quality by scaling up StyleGAN2☆179Updated 3 years ago
- CLOOB Conditioned Latent Diffusion training and inference code☆113Updated 2 years ago
- Navigating StyleGAN2 w latent space using CLIP☆56Updated 3 years ago
- Start here☆110Updated last year
- Tools for smoothly interpolating between prompts for Stable Diffusion models☆59Updated 2 years ago
- Unified API to facilitate usage of pre-trained "perceptor" models, a la CLIP☆39Updated 2 years ago
- Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.☆60Updated 3 years ago
- A notebook for text-based guided image generation using StyleGANXL and CLIP.☆59Updated last year
- Buckle up, adventure in the styleGAN2-ada-pytorch network latent space awaits☆59Updated 3 years ago
- Kandinsky 2 — multilingual text2image latent diffusion model☆75Updated last year
- Custom scripts for the stable diffusion web ui by AUTOMATIC1111☆140Updated 2 years ago