sd-webui-vectorscope-cc
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An Extension for Automatic1111 Webui that performs Offset Noise* natively
SD Webui Vectorscope CC
This is an Extension for the Automatic1111 Webui, which performs a kind of Offset Noise natively, allowing you to adjust the brightness, contrast, and color of the generations.
Also compatible with Forge!
Now supports SDXL!
Sample Images
How to Use
After installing this Extension, you will see a new section in both txt2img and img2img tabs. Refer to the parameters and sample images below and play around with the values.
Note: Since this modifies the underlying latent noise, the composition may change drastically.
Parameters
- Enable: Turn on/off this Extension
- Alt: Modify an alternative Tensor instead, causing the effects to be significantly stronger
- Brightness: Adjust the overall brightness of the image
- Contrast: Adjust the overall contrast of the image
- Saturation: Adjust the overall saturation of the image
Color Channels
- Comes with a Color Wheel for visualization
- You can also click and drag on the Color Wheel to select a color directly
Channel | Lower | Higher |
R | Cyan | Red |
G | Magenta | Green |
B | Yellow | Blue |
Buttons
- Reset: Reset all settings to the default values
-
Randomize: Randomize
Brightness
,Contrast
,Saturation
,R
,G
,B
Style Presets
- Use the
Dropdown
to select a Style then click Apply Style to apply - To save a Style, enter a name in the
Textbox
then click Save Style - To delete a Style, enter the name in the
Textbox
then click Delete Style-
Deleted Style is still in the
styles.json
in case you wish to retrieve it
-
Deleted Style is still in the
- Click Refresh Style to update the
Dropdown
if you edited thestyles.json
manually
Advanced Settings
-
Process Hires. fix: By default, this Extension only functions during the txt2img phase, so that Hires. fix may "fix" the artifacts introduced during txt2img. Enable this to process Hires. fix phase too.
- This option does not affect img2img
-
Process ADetailer: Enable to process ADetailer phase too.
- Will usually cause a square of inconsistent colors
Noise Settings
let
x
denote the Tensor ; lety
denote the operations
-
Straight: All operations are calculated on the same Tensor
-
x += x * y
-
-
Cross: All operations are calculated on the Tensor opposite of the
Alt.
setting-
x += x' * y
-
-
Ones: All operations are calculated on a Tensor filled with ones
-
x += 1 * y
-
-
N.Random: All operations are calculated on a Tensor filled with random values from normal distribution
-
x += randn() * y
-
-
U.Random: All operations are calculated on a Tensor filled with random values from uniform distribution
-
x += rand() * y
-
-
Multi-Res: All operations are calculated on a Tensor generated with multi-res noise algorithm
-
x += multires() * y
-
-
Abs: Calculate using the absolute values of the chosen Tensors instead
-
x += abs(F) * y
-
Scaling Settings
By default, this Extension offsets the noise by the same amount each step. But due to the denoising process, this may produce undesired outcomes such as blurriness at high Brightness or noises at low Brightness. Therefore, I added a scaling option to modify the offset amount throughout the process.
Essentially, the "magnitude" of the default Tensor gets smaller every step, so offsetting by the same amount will have stronger effects at the later steps.
- Flat: Default behavior. Same amount each step.
- Cos: Cosine scaling. (High -> Low)
- Sin: Sine scaling. (Low -> High)
- 1 - Cos: (Low -> High)
- 1 - Sin: (High -> Low)
Sample Images
- Checkpoint: Animagine XL V3
-
Pos. Prompt:
[high quality, best quality], 1girl, solo, casual, night, street, city, <lora:SDXL_Lightning_8steps:1>
-
Neg. Prompt:
lowres, [low quality, worst quality], jpeg
-
Euler A SGMUniform
;10 steps
;2.0 CFG
; Seed:2836968120
-
Multi-Res Abs.
;Cos
Disabled
Brightness: 2.0 ; Contrast: -0.5 ; Saturation: 1.5
R: 2.5; G: 1.5; B: -3
Brightness: -2.5 ; Contrast: 1 ; Saturation: 0.75
R: -1.5; G: -1.5; B: 4
Roadmap
- [X] Extension Released
- [X] Add Support for X/Y/Z Plot
- [X] Implement different Noise functions
- [X] Add Randomize button
- [X] Style Presets
- [X] Implement Color Wheel & Color Picker
- [X] Implement better scaling algorithms
- [X] Add API Docs
- [X] Append Parameters onto Metadata
- You can enable this in the Infotext section of the Settings tab
- [X] Add Infotext Support (by. catboxanon)
- [X] ADD HDR Script
- [X] Add SDXL Support
- [ ] Add Gradient features
X/Y/Z Plot Support
Randomize
The value is used as the random seed
You can refer to the console to see the randomized values
API
You can use this Extension via API by adding an entry to the alwayson_scripts
of your payload.
An example is provided.
The args
are sent in the following order in an array
:
-
Enable:
bool
-
Alt:
bool
-
Brightness:
float
-
Contrast:
float
-
Saturation:
float
-
R:
float
-
G:
float
-
B:
float
-
Process Hires. Fix:
bool
-
Noise Settings:
str
-
Scaling Settings:
str
Known Issues
- Does not work certain samplers (See Wiki)
- Has little effect when used with certain LoRAs
HDR
BETA
- In the Script
Dropdown
at the bottom, there is now a new option:High Dynamic Range
- This script will generate multiple images ("Brackets") of varying brightness, then merge them into 1 HDR image
- Do provide feedback in the thread!
-
Highly Recommended to use a deterministic sampler and high enough steps.
Euler
(notEuler a
) worked well in my experience.
Settings
- Brackets: The numer of images to generate
- Gaps: The brightness difference between each image
-
Automatically Merge: When enabled, this will merge the images using an
OpenCV
algorithm and save to theHDR
folder in theoutputs
folder; When disabled, this will return all images to the result section, for when you have a more advanced program such as Photoshop to do the merging.- All the images are still saved to the
outputs
folder regardless
- All the images are still saved to the
Offset Noise TL;DR
The most common version of Offset Noise you may have heard of is from this blog post,
where it was discovered that the noise functions used during training were flawed, causing Stable Diffusion
to always generate images with an average of 0.5
(ie. grey).
ie. Even if you prompt for dark/night or bright/snow, the overall image still looks "grey"
However, this Extension instead tries to offset the latent noise during the inference phase. Therefore, you do not need to use models that were specially trained, as this can work on any model.
How does this work?
After reading through and messing around with the code, I found out that it is possible to directly modify the Tensors representing the latent noise used by the Stable Diffusion process.
The dimensions of the Tensors is (X, 4, H / 8, W / 8)
, which can be thought of like this:
X batch of noise images, with 4 channels, each with (W / 8) x (H / 8) values
eg. Generating a single 512x768 image will create a Tensor of size (1, 4, 96, 64)
Then, I tried to play around with the values of each channel and ended up discovering these relationships. Essentially, the 4 channels correspond to the CMYK color format, hence why you can control the brightness as well as the colors.
Vectorscope?
The Extension is named this way because the color interactions remind me of the Vectorscope
found in Premiere Pro's Lumetri Color.
Those who are experienced in Color Correction should be rather familiar with this Extension.
~~Yes. I'm aware that it's just how digital colors work in general.~~
~~We've come full circle (*ba dum tss) now that a Color Wheel is actually added.~~