diff --git a/CHANGELOG.md b/CHANGELOG.md
index 3a1df75..16af674 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,3 +1,6 @@
+### v1.4.6 - 2023 Sep.19
+- Add **HDR** Script
+
### v1.4.5 - 2023 Sep.13
- Bug Fix for Color Wheel in `img2img`
- Minor Formatting
diff --git a/README.md b/README.md
index 8a6852d..a365e22 100644
--- a/README.md
+++ b/README.md
@@ -1,23 +1,20 @@
# SD Webui Vectorscope CC
-This is an Extension for the [Automatic1111 Webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui), which performs *a kind of* **Offset Noise**[*](#offset-noise-tldr) natively.
+This is an Extension for the [Automatic1111 Webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui), which performs a kind of **Offset Noise**[*](#offset-noise-tldr) natively,
+allowing you to adjust the brightness, contrast, and color of the generations.
> [Sample Images](#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.
+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.
+**Note:** Since this modifies the underlying latent noise, the composition may change drastically. Using the **Ones** scaling seems to reduce the variations.
#### Parameters
-- **Enable:** Turn on & off this Extension
+- **Enable:** Turn on/off this Extension
- **Alt:** Modify an alternative Tensor instead, causing the effects to be significantly stronger
- **Skip:** Skip the last percentage of steps and only process the first few steps
- - *Not as useful now that you can tune the [Scaling Settings](#scaling-settings)*
-
-

-When Alt. is enabled, the image can get distorted at high value
Increase Skip to still achieve a stronger effect but without distortion
-
+ - *Not as useful now since you can tune the [Scaling Settings](#scaling-settings) instead*
- **Brightness:** Adjust the overall brightness of the image
- **Contrast:** Adjust the overall contrast of the image
- **Saturation:** Adjust the overall saturation of the image
@@ -65,10 +62,8 @@ refer to the parameters and sample images below and play around with the values.
- Click **Refresh Style** to update the `Dropdown` if you edited the `styles.json` directly
#### 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**
- - **Note:** Keep the **txt2img** base `steps` higher than **Hires. fix** `steps` if you enable this
##### Noise Settings
> let `x` denote the Tensor ; let `y` denote the operations
@@ -95,7 +90,7 @@ refer to the parameters and sample images below and play around with the values.
##### Scaling Settings
Previously, 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**.
+But due to the denoising process, this may produce undesired outcomes such as blurriness at high **Brightness** or noises at low **Brightness**.
Thus, I added a scaling option to modify the offset amount.
> Essentially, the "magnitude" of the default Tensor gets smaller every step, so offsetting by the same amount will have stronger effects at later steps. This is reversed on the `Alt.` Tensor however.
@@ -174,19 +169,20 @@ Thus, I added a scaling option to modify the offset amount.
- [X] Fix the **Brightness** issues *~~kinda~~*
- [X] Add API Docs
- [X] Add Infotext Support *(by. [catboxanon](https://github.com/catboxanon))*
+- [X] ADD **HDR** Script
- [ ] Add Gradient features
-
X/Y/Z Plot Support
(Outdated Contrast Value)
+
+X/Y/Z Plot w/ Randomize

-For Randomize in X/Y/Z Plot, the value is used as the random seed
-You can refer to the console to see the randomized values
+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](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/API) by adding an entry in the `alwayson_scripts` of your payload.
An [example](samples/api_example.json) is provided.
-The `args` are the sent in the following order:
+The `args` are sent in the following order:
- **[Enable, Alt, Brightness, Contrast, Saturation, R, G, B, Skip, Process Hires. Fix, Noise Settings, Scaling Settings]**
> `bool`, `bool`, `float`, `float`, `float`, `float`, `float`, `float`, `float`, `bool`, `str`, `str`
@@ -195,9 +191,24 @@ The `args` are the sent in the following order:
- Does not work with `DDIM`, `UniPC` samplers
- Has little effect when used with certain **LoRA**s
+## HDR
+BETA
+
+> [Discussion Thread](https://github.com/Haoming02/sd-webui-vectorscope-cc/issues/16)
+
+- 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!*
+
+#### 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 a `OpenCV` algorithm and save to the `HDR` folder in the `outputs` folder; When disabled, this will return all images to the result section
+ - All the images are still saved to the `outputs` folder regardless
+
-#### Offset Noise TL;DR
+### Offset Noise TL;DR
The most common *version* of **Offset Noise** you may have heard of is from this [blog post](https://www.crosslabs.org/blog/diffusion-with-offset-noise),
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`.
@@ -211,7 +222,7 @@ Though, the results may not be as good as using properly trained models.
-#### What is Under the Hood
+### What is Under the Hood
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.
@@ -228,7 +239,7 @@ hence why you can control the brightness as well as the colors.
-#### Vectorscope?
+### 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.
diff --git a/javascript/vec_cc.js b/javascript/vec_cc.js
index 53f4ed1..9a42a76 100644
--- a/javascript/vec_cc.js
+++ b/javascript/vec_cc.js
@@ -126,5 +126,11 @@ onUiLoaded(async () => {
row2.style.alignItems = 'end'
row2.style.gap = '1em'
+ // ----- HDR UIs -----
+ const hdr_settings = document.getElementById('vec-hdr-' + mode)
+ const buttons = hdr_settings.getElementsByTagName('label')
+
+ for (let i = 0; i < buttons.length; i++)
+ buttons[i].style.borderRadius = '0.5em'
})
})
diff --git a/scripts/cc.py b/scripts/cc.py
index 1952980..290089f 100644
--- a/scripts/cc.py
+++ b/scripts/cc.py
@@ -26,6 +26,7 @@ og_callback = KDiffusionSampler.callback_state
class VectorscopeCC(scripts.Script):
def __init__(self):
clean_outdated('cc.py')
+ clean_outdated('cc_hdr.py')
self.xyzCache = {}
xyz_support(self.xyzCache)
diff --git a/scripts/cc_hdr.py b/scripts/cc_hdr.py
new file mode 100644
index 0000000..e1295c7
--- /dev/null
+++ b/scripts/cc_hdr.py
@@ -0,0 +1,109 @@
+import modules.scripts as scripts
+import gradio as gr
+import numpy as np
+import cv2 as cv
+
+from modules.processing import process_images, get_fixed_seed
+from copy import copy
+
+# https://docs.opencv.org/4.8.0/d2/df0/tutorial_py_hdr.html
+def merge_HDR(imgs:list, path:str, depth:str, fmt:str, gamma:float):
+ import datetime
+ import math
+ import os
+
+ output_folder = os.path.join(path, 'hdr')
+ if not os.path.exists(output_folder):
+ os.makedirs(output_folder)
+
+ imgs_np = [np.array(img, dtype=np.uint8) for img in imgs]
+
+ merge = cv.createMergeMertens()
+ hdr = merge.process(imgs_np)
+ hdr += math.ceil(0 - np.min(hdr) * 1000) / 1000
+
+ #print(f'{np.min(hdr)}, {np.max(hdr)}')
+
+ target = (65535 if depth == '16bpc' else 255)
+ precision = ('uint16' if depth == '16bpc' else 'uint8')
+
+ hdr = np.power(hdr, (1 / gamma))
+
+ ldr = np.clip(hdr * target, 0, target).astype(precision)
+ rgb = cv.cvtColor(ldr, cv.COLOR_BGR2RGB)
+
+ cv.imwrite(os.path.join(output_folder, f'{datetime.datetime.now().strftime("%H-%M-%S")}{fmt}'), rgb)
+
+class VectorHDR(scripts.Script):
+
+ def title(self):
+ return "High Dynamic Range"
+
+ def show(self, is_img2img):
+ return True
+
+ def ui(self, is_img2img):
+ with gr.Row():
+ count = gr.Slider(label="Brackets", minimum=3, maximum=9, step=2, value=7)
+ gap = gr.Slider(label="Gaps", minimum=0.50, maximum=2.50, step=0.25, value=1.50)
+
+ with gr.Accordion("Merge Options", elem_id='vec-hdr-' + ('img' if is_img2img else 'txt'), open=False):
+ auto = gr.Checkbox(label="Automatically Merge", value=True)
+
+ with gr.Row():
+ depth = gr.Radio(['16bpc', '8bpc'], label="Bit Depth", value="16bpc")
+ fmt = gr.Radio(['.tiff', '.png'], label="Image Format", value=".tiff")
+
+ gamma = gr.Slider(label="Gamma", info='Lower: Darker | Higher: Brighter',minimum=0.2, maximum=2.2, step=0.2, value=1.2)
+
+ return [count, gap, auto, depth, fmt, gamma]
+
+ def run(self, p, count:int, gap:float, auto:bool, depth:str, fmt:str, gamma:float):
+ center = count // 2
+
+ p.seed = get_fixed_seed(p.seed)
+ p.scripts.script('vectorscope cc').xyzCache.update({
+ 'Enable':'True',
+ 'Alt':'True',
+ 'Skip': 0,
+ 'Brightness': 0,
+ 'DoHR': 'False',
+ 'Method': 'Ones',
+ 'Scaling': '1 - Cos'
+ })
+
+ baseline = process_images(p)
+ pc = copy(p)
+
+ imgs = [None] * count
+ imgs[center] = baseline.images[0]
+
+ brackets = brightness_brackets(count, gap)
+
+ for it in range(count):
+ if it == center:
+ continue
+
+ pc.scripts.script('vectorscope cc').xyzCache.update({
+ 'Enable':'True',
+ 'Alt':'True',
+ 'Skip': 0,
+ 'Brightness': brackets[it],
+ 'DoHR': 'False',
+ 'Method': 'Ones',
+ 'Scaling': '1 - Cos'
+ })
+
+ proc = process_images(pc)
+ imgs[it] = proc.images[0]
+
+ if not auto:
+ baseline.images = imgs
+ return baseline
+ else:
+ merge_HDR(imgs, p.outpath_samples, depth, fmt, gamma)
+ return baseline
+
+def brightness_brackets(count, gap):
+ half = count // 2
+ return [gap * (i - half) for i in range(count)]
diff --git a/scripts/cc_version.py b/scripts/cc_version.py
index 92788df..106e2f0 100644
--- a/scripts/cc_version.py
+++ b/scripts/cc_version.py
@@ -1,7 +1,7 @@
import modules.scripts as scripts
import json
-VERSION = 'v1.4.5'
+VERSION = 'v1.4.6'
def clean_outdated(EXT_NAME:str):
with open(scripts.basedir() + '/' + 'ui-config.json', 'r') as json_file: