diffusion-ui-backend
— AK (@_akhaliq) September 20, 2022
The @Gradio interface provides an API to generate images with Stable Diffusion for:
- text-to-image
- image-to-image
- inpainting
github: https://t.co/zqAVKmGOHg
docs: https://t.co/G9VOuhT2vc
diffusion-ui-backend
— AK (@_akhaliq) September 20, 2022
The @Gradio interface provides an API to generate images with Stable Diffusion for:
- text-to-image
- image-to-image
- inpainting
github: https://t.co/zqAVKmGOHg
docs: https://t.co/G9VOuhT2vc
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
— AK (@_akhaliq) September 20, 2022
abs: https://t.co/1DmZBhl9Zm
github: https://t.co/X2bCP1RlBg pic.twitter.com/6Q61Sn844x
LAVIS: A Library for Language-Vision Intelligence
— AK (@_akhaliq) September 20, 2022
abs: https://t.co/hPQTx9Wu8L
github: https://t.co/LeHK7zxqDw pic.twitter.com/6s1x7D80H1
CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment
— AK (@_akhaliq) September 15, 2022
abs: https://t.co/Wjx8nicsLJ pic.twitter.com/qLNPpomFdR
Blurring Diffusion Models
— AK (@_akhaliq) September 14, 2022
abs: https://t.co/3XvXIKH1Rj
propose a generalized class of diffusion models that offers the best of both standard Gaussian denoising diffusion and inverse heat dissipation, called Blurring Diffusion Models pic.twitter.com/ywokVfx04D
Stable Diffusion Image Variations by @Buntworthy with a @Gradio Demo in @GoogleColab
— AK (@_akhaliq) September 12, 2022
colab: https://t.co/gt1aJq63AA pic.twitter.com/7hGdkhDO7i
Text-Free Learning of a Natural Language Interface for Pretrained Face Generators
— AK (@_akhaliq) September 9, 2022
abs: https://t.co/MdUAsWgJ8e pic.twitter.com/NnH4V5D9Qf
waifu-diffusion, a latent text-to-image diffusion model that has been conditioned on high-quality anime images through fine-tuning@huggingface model: https://t.co/akFXoCxHl0 pic.twitter.com/Xyqh2PpPYj
— AK (@_akhaliq) September 8, 2022
Stable Diffusion web UI with Outpainting, Inpainting, Prompt matrix, Upscale, Textual Inversion and many more features
— AK (@_akhaliq) September 5, 2022
github: https://t.co/F1T1qWMojs pic.twitter.com/hmjU4j1bic
George Hotz live-coding stable diffusion in tinygrad https://t.co/RR8Ewrdo5f via @YouTube
— Eric Jang (@ericjang11) September 5, 2022
colab: https://t.co/VDRk57H3QU
— AK (@_akhaliq) September 4, 2022
COYO-700M, a large-scale dataset that contains 747M image-text pairs as well as many other meta-attributes to increase the usability to train various models
— AK (@_akhaliq) September 2, 2022
github: https://t.co/3J3hh5ocSu pic.twitter.com/nTbN9MztnD