Merge branch 'master' into feature/scale_to

1 files changed, 9 insertions, 2 deletions

diff --git a/README.md b/README.md
index 561eb03d..859a91b6 100644
--- a/README.md
+++ b/README.md
@@ -28,10 +28,12 @@ Check the [custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-web
     - CodeFormer, face restoration tool as an alternative to GFPGAN

     - RealESRGAN, neural network upscaler

     - ESRGAN, neural network upscaler with a lot of third party models

-    - SwinIR, neural network upscaler

+    - SwinIR and Swin2SR([see here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/2092)), neural network upscalers

     - LDSR, Latent diffusion super resolution upscaling

 - Resizing aspect ratio options

 - Sampling method selection

+    - Adjust sampler eta values (noise multiplier)

+    - More advanced noise setting options

 - Interrupt processing at any time

 - 4GB video card support (also reports of 2GB working)

 - Correct seeds for batches

@@ -67,6 +69,7 @@ Check the [custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-web
      - also supports weights for prompts: `a cat :1.2 AND a dog AND a penguin :2.2`

 - No token limit for prompts (original stable diffusion lets you use up to 75 tokens)

 - DeepDanbooru integration, creates danbooru style tags for anime prompts (add --deepdanbooru to commandline args)

+- [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add --xformers to commandline args)

 

 ## Installation and Running

 Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.

@@ -116,13 +119,17 @@ The documentation was moved from this README over to the project's [wiki](https:
 - CodeFormer - https://github.com/sczhou/CodeFormer

 - ESRGAN - https://github.com/xinntao/ESRGAN

 - SwinIR - https://github.com/JingyunLiang/SwinIR

+- Swin2SR - https://github.com/mv-lab/swin2sr

 - LDSR - https://github.com/Hafiidz/latent-diffusion

 - Ideas for optimizations - https://github.com/basujindal/stable-diffusion

 - Doggettx - Cross Attention layer optimization - https://github.com/Doggettx/stable-diffusion, original idea for prompt editing.

+- InvokeAI, lstein - Cross Attention layer optimization - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)

 - Rinon Gal - Textual Inversion - https://github.com/rinongal/textual_inversion (we're not using his code, but we are using his ideas).

 - Idea for SD upscale - https://github.com/jquesnelle/txt2imghd

 - Noise generation for outpainting mk2 - https://github.com/parlance-zz/g-diffuser-bot

 - CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator

+- Idea for Composable Diffusion - https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch

+- xformers - https://github.com/facebookresearch/xformers

+- DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru

 - Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.

-- DeepDanbooru - interrogator for anime diffusors https://github.com/KichangKim/DeepDanbooru

 - (You)