features updates

unused code removed from outpainting mk2
This commit is contained in:
AUTOMATIC 2022-10-01 00:38:48 +03:00
parent 6b02966fcd
commit 84e97a98c5
2 changed files with 33 additions and 59 deletions

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@ -11,44 +11,56 @@ Check the [custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-web
- One click install and run script (but you still must install python and git)
- Outpainting
- Inpainting
- Prompt matrix
- Prompt
- Stable Diffusion upscale
- Attention
- Loopback
- X/Y plot
- Attention, specify parts of text that the model should pay more attention to
- a man in a ((txuedo)) - will pay more attentinoto tuxedo
- a man in a (txuedo:1.21) - alternative syntax
- Loopback, run img2img procvessing multiple times
- X/Y plot, a way to draw a 2 dimensional plot of images with different parameters
- Textual Inversion
- have as many embeddings as you want and use any names you like for them
- use multiple embeddings with different numbers of vectors per token
- works with half precision floating point numbers
- Extras tab with:
- GFPGAN, neural network that fixes faces
- CodeFormer, face restoration tool as an alternative to GFPGAN
- RealESRGAN, neural network upscaler
- ESRGAN, neural network with a lot of third party models
- ESRGAN, neural network upscaler with a lot of third party models
- SwinIR, neural network upscaler
- LDSR, Latent diffusion super resolution upscaling
- Resizing aspect ratio options
- Sampling method selection
- Interrupt processing at any time
- 4GB video card support
- 4GB video card support (also reports of 2GB working)
- Correct seeds for batches
- Prompt length validation
- Generation parameters added as text to PNG
- Tab to view an existing picture's generation parameters
- get length of prompt in tokensas you type
- get a warning after geenration if some text was truncated
- Generation parameters
- parameters you used to generate images are saved with that image
- in PNG chunks for PNG, in EXIF for JPEG
- can drag the image to PNG info tab to restore generation parameters and automatically copy them into UI
- can be disabled in settings
- Settings page
- Running custom code from UI
- Running arbitrary python code from UI (must run with commandline flag to enable)
- Mouseover hints for most UI elements
- Possible to change defaults/mix/max/step values for UI elements via text config
- Random artist button
- Tiling support: UI checkbox to create images that can be tiled like textures
- Tiling support, a checkbox to create images that can be tiled like textures
- Progress bar and live image generation preview
- Negative prompt
- Styles
- Variations
- Seed resizing
- CLIP interrogator
- Prompt Editing
- Batch Processing
- Negative prompt, an extra text field that allows you to list what you don't want to see in generated image
- Styles, a way to save part of prompt and easily apply them via dropdown later
- Variations, a way to generate same image but with tiny differences
- Seed resizing, a way to generate same image but at slightly different resolution
- CLIP interrogator, a button that tries to guess prompt from an image
- Prompt Editing, a way to change prompt mid-generation, say to start making a watermelon and switch to anime girl midway
- Batch Processing, process a group of files using img2img
- Img2img Alternative
- Highres Fix
- LDSR Upscaling
- Highres Fix, a convenience option to produce high resolution pictures in one click without usual distortions
- Reloading checkpoints on the fly
- Checkpoint Merger, a tab that allows you to merge two checkpoints into one
- [Custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) with many extensions from community
## 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.

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@ -11,46 +11,8 @@ from modules import images, processing, devices
from modules.processing import Processed, process_images
from modules.shared import opts, cmd_opts, state
# https://github.com/parlance-zz/g-diffuser-bot
def expand(x, dir, amount, power=0.75):
is_left = dir == 3
is_right = dir == 1
is_up = dir == 0
is_down = dir == 2
if is_left or is_right:
noise = np.zeros((x.shape[0], amount, 3), dtype=float)
indexes = np.random.random((x.shape[0], amount)) ** power * (1 - np.arange(amount) / amount)
if is_right:
indexes = 1 - indexes
indexes = (indexes * (x.shape[1] - 1)).astype(int)
for row in range(x.shape[0]):
if is_left:
noise[row] = x[row][indexes[row]]
else:
noise[row] = np.flip(x[row][indexes[row]], axis=0)
x = np.concatenate([noise, x] if is_left else [x, noise], axis=1)
return x
if is_up or is_down:
noise = np.zeros((amount, x.shape[1], 3), dtype=float)
indexes = np.random.random((x.shape[1], amount)) ** power * (1 - np.arange(amount) / amount)
if is_down:
indexes = 1 - indexes
indexes = (indexes * x.shape[0] - 1).astype(int)
for row in range(x.shape[1]):
if is_up:
noise[:, row] = x[:, row][indexes[row]]
else:
noise[:, row] = np.flip(x[:, row][indexes[row]], axis=0)
x = np.concatenate([noise, x] if is_up else [x, noise], axis=0)
return x
# this function is taken from https://github.com/parlance-zz/g-diffuser-bot
def get_matched_noise(_np_src_image, np_mask_rgb, noise_q=1, color_variation=0.05):
# helper fft routines that keep ortho normalization and auto-shift before and after fft
def _fft2(data):