diff options
| -rw-r--r-- | README.md | 52 | ||||
| -rw-r--r-- | scripts/outpainting_mk_2.py | 40 |
2 files changed, 33 insertions, 59 deletions
@@ -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
-- Correct seeds for batches
+- 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.
diff --git a/scripts/outpainting_mk_2.py b/scripts/outpainting_mk_2.py index 9719bb8f..11613ca3 100644 --- a/scripts/outpainting_mk_2.py +++ b/scripts/outpainting_mk_2.py @@ -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):
|