SdPaint
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Stable Diffusion Painting
SdPaint
A Python script that lets you paint on a canvas and sends that image every stroke to the automatic1111 API and updates the canvas when the image is generated.
Controls
| Key / Mouse button | Control |
|---|---|
| Left button | Draw with the current brush size |
| Middle button | Draw with a white color brush |
e + Left button |
Eraser brush (bigger) |
| Scroll up / down | Increase / decrease brush size |
backspace |
Erase the entire sketch |
shift + Left button |
Draw a line between two clicks |
RETURN or ENTER |
Force image rendering |
t |
Cycle render wait time (+0.5s, or off) |
UP / DOWN |
Increase / decrease seed by 1 |
n |
Random seed value |
s |
Save the current generated image |
o |
Open an image file as sketch |
m |
Cycle ControlNel models |
d |
Cycle ControlNet detectors, replace sketch |
h |
Cycle HR fix: off, 1.25, 1.5, 2.0 |
q |
Toggle quick rendering : low steps & HR off |
c |
Cycle CLIP skip settings |
x or ESC |
Quit |
Installation
Windows: Link to step-by-step Windows installation instructions with screenshots
Linux: To Do
macOS: To Do
TLDR; Web UI with the ControlNet extension, API mode enabled in settings, and the AI Models
Configuration
On first launch of the Start file, the script will create the config.json, controlnet.json and img2img.json configuration files as needed. The ControlNet
available models for scribble and lineart will be automatically fetched from your API and set in configuration.
The config.json file handles global interface and script configuration.
The controlnet.json or img2img.json files can be used to configure the prompt, negative prompt, seed, controlnet model, etc.
When you save the json file the program will use it after the next brush stroke or when you press enter.
A controlnet-high.json-dist example configuration file is available for better image quality, at the cost of longer rendering time.
Use only with a powerful graphics card.
If you want to add additional models into your controlnet extension you can do so by adding the model folder into the models folder of the controlnet extension.
".\stable-diffusion-webui\extensions\sd-webui-controlnet\models"
Multiple ControlNet models
You can update the config.json "controlnet_models" list to have multiple ControlNet models available. You can then cycle
between the models using the l and m keys.
The models set by default correspond to the ones available on https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors :
- Scribble
- Lineart
- Lineart anime
ControlNet detectors
You can also update the config.json "detectors" list to configure the line detection on the generated image. Cycle between detections
with the d key.
The default detectors are:
- Lineart
- Lineart coarse
- Sketch (pidinet)
- Scribble (pidinet)
You can find the full list of supported modules with this URL http://127.0.0.1:7860/controlnet/module_list .
Img2img Experimental mode
Launch the program with --img2img <image_file_path> to watch an image file for changes, and use it as img2img source. If the script is launched
with an empty image file path, a loading file dialog will be displayed.
The img2img.json file is used in this mode.
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
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