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@ -2,6 +2,7 @@ Features:
* Gradio GUI: Idiot-proof, fully featured frontend for both txt2img and img2img generation
* No more manually typing parameters, now all you have to do is write your prompt and adjust sliders
* :computer: esrgan/gfpgan on cpu support :computer:
* :fire: gpu device selectable with --gpu <id> :fire:
* :fire::fire: Mask and crop :fire::fire:
* Textual inversion 🔥: [info](https://textual-inversion.github.io/) - requires enabling, see [here](https://github.com/hlky/sd-enable-textual-inversion), script works as usual without it enabled
@ -23,24 +24,23 @@ A browser interface based on Gradio library for Stable Diffusion.
Original script with Gradio UI was written by a kind anonymopus user. This is a modification.
![](screenshot.png)
![](images/txt2img.png)
![](images/img2img.png)
![](images/gfpgan.png)
![](images/esrgan.png)
### GFPGAN
If you want to use GFPGAN to improve generated faces, you need to install it separately.
Follow instructions from https://github.com/TencentARC/GFPGAN, but when cloning it, do so into Stable Diffusion main directory, `/sd`.
After that download [GFPGANv1.3.pth](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth) and put it
into the `/sd/GFPGAN/experiments/pretrained_models` directory. If you're getting troubles with GFPGAN support, follow instructions
from the GFPGAN's repository until `inference_gfpgan.py` script works.
If the GFPGAN directory does not exist, you will not get the option to use GFPGAN in the UI. If it does exist, you will either be able
to use it, or there will be a message in console with an error related to GFPGAN.
Download [GFPGANv1.3.pth](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth) and put it
into the `/stable-diffusion/src/gfpgan/experiments/pretrained_models` directory.
### RealESRGAN
If you want to use RealESRGAN to upscale generated images, you need to install it separately.
Follow instructions from https://github.com/xinntao/Real-ESRGAN, but when cloning it, do so into Stable Diffusion main directory, `/sd`.
After that download [RealESRGAN_x4plus.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth) and [RealESRGAN_x4plus_anime_6B.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth).
Put them into the `/sd/RealESRGAN/experiments/pretrained_models` directory. If you're getting troubles with RealESRGAN support, follow instructions from the RealESRGAN's repository until `inference_realesrgan.py` script works.
Download [RealESRGAN_x4plus.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth) and [RealESRGAN_x4plus_anime_6B.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth).
Put them into the `stable-diffusion/src/realesrgan/experiments/pretrained_models` directory.
If the RealESRGAN directory does not exist, you will not get the option to use RealESRGAN in the UI. If it does exist, you will be either able
to use it, or there will be a message in console with an error related to RealESRGAN.
@ -73,7 +73,8 @@ There is also a separate tab for using RealESRGAN on any picture.
![](images/RealESRGAN.png)
### Sampling method selection
Pick out of three sampling methods for txt2img: DDIM, PLMS, k-diffusion:
txt2img samplers: "DDIM", "PLMS", 'k_dpm_2_a', 'k_dpm_2', 'k_euler_a', 'k_euler', 'k_heun', 'k_lms'
img2img samplers: "DDIM", 'k_dpm_2_a', 'k_dpm_2', 'k_euler_a', 'k_euler', 'k_heun', 'k_lms'
![](images/sampling.png)
@ -96,7 +97,7 @@ If you use this feature, batch count will be ignored, because the number of pict
depends on your prompts, but batch size will still work (generating multiple pictures at the
same time for a small speed boost).
### Flagging
### Flagging (Broken after UI changed to gradio.Blocks() see [Flag button missing from new UI](https://github.com/hlky/stable-diffusion-webui/issues/50))
Click the Flag button under the output section, and generated images will be saved to `log/images` directory, and generation parameters
will be appended to a csv file `log/log.csv` in the `/sd` directory.