README
FocusPocusAI
Image generation from screen capture, webcam capture and/or simple brush strokes. The functions have been designed primarily for use in architecture, and for sketching in the early stages of a project. It uses Stable Diffusion and LCM-LoRA as AI backbone for the generative process. IP Adapter support is included! Initially, the Gradio code from https://github.com/flowtyone/flowty-realtime-lcm-canvas was adapted to Pyside6, and upgraded with the screen capture functionality.
Any app can be used as a design inspiration source!
Examples of screen captures that could be a great source of information for diffusion :
- Creating simple shapes in Blender
- Painting in Photoshop/Krita
- Stop a video on a specific frame
- Google Earth or Google Street View
- ...
example showing a screen capture from Blender (on the left)
example showing a screen capture from a video (on the left)
Installation
- Install CUDA (if not done already)
- Clone the repo and install a venv.
- Install torch. Example for CUDA 11.8:
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
(see https://pytorch.org/get-started/locally/)
- Install other dependencies (see requirements):
- opencv-python
- accelerate
- diffusers
- transformers
- Pyside6. Note: It works with Pyside 6.5.2. Newer versions can cause problem with the loading of ui elements.
- Launch main.py
Usage
Screen capture a 512 x 512 window on top any app (the dimensions can be adapted depending on your GPU). By default, the capture timestep is 1 second. Then, paint with a brush or add simple shapes and see the proposed image adapting live.
CTRL + wheel to adapt cursor size. The SD model can be adapted in the lcm.py file or chosen in a drop-down menu. Voilà!
https://github.com/s-du/FocusPocusAI/assets/53427781/0c641573-599f-4bdb-b210-20576d7482a6
Included models
The user can choose the inference model from within the UI (beware of hard drive space!). Here are the available built-in models:
- https://huggingface.co/darkstorm2150/Protogen_x5.8_Official_Release
- https://huggingface.co/Lykon/dreamshaper-7
- https://huggingface.co/Lykon/dreamshaper-8
- https://huggingface.co/danbrown/RevAnimated-v1-2-2
- ...
Credits
The 'lcm.py' is adapted from https://github.com/flowtyone
Contributors
68 commits
Similar repos
Languages
Python
100.0%
README
FocusPocusAI
Image generation from screen capture, webcam capture and/or simple brush strokes. The functions have been designed primarily for use in architecture, and for sketching in the early stages of a project. It uses Stable Diffusion and LCM-LoRA as AI backbone for the generative process. IP Adapter support is included! Initially, the Gradio code from https://github.com/flowtyone/flowty-realtime-lcm-canvas was adapted to Pyside6, and upgraded with the screen capture functionality.
Any app can be used as a design inspiration source!
Examples of screen captures that could be a great source of information for diffusion :
- Creating simple shapes in Blender
- Painting in Photoshop/Krita
- Stop a video on a specific frame
- Google Earth or Google Street View
- ...
example showing a screen capture from Blender (on the left)
example showing a screen capture from a video (on the left)
Installation
- Install CUDA (if not done already)
- Clone the repo and install a venv.
- Install torch. Example for CUDA 11.8:
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
(see https://pytorch.org/get-started/locally/)
- Install other dependencies (see requirements):
- opencv-python
- accelerate
- diffusers
- transformers
- Pyside6. Note: It works with Pyside 6.5.2. Newer versions can cause problem with the loading of ui elements.
- Launch main.py
Usage
Screen capture a 512 x 512 window on top any app (the dimensions can be adapted depending on your GPU). By default, the capture timestep is 1 second. Then, paint with a brush or add simple shapes and see the proposed image adapting live.
CTRL + wheel to adapt cursor size. The SD model can be adapted in the lcm.py file or chosen in a drop-down menu. Voilà!
https://github.com/s-du/FocusPocusAI/assets/53427781/0c641573-599f-4bdb-b210-20576d7482a6
Included models
The user can choose the inference model from within the UI (beware of hard drive space!). Here are the available built-in models:
- https://huggingface.co/darkstorm2150/Protogen_x5.8_Official_Release
- https://huggingface.co/Lykon/dreamshaper-7
- https://huggingface.co/Lykon/dreamshaper-8
- https://huggingface.co/danbrown/RevAnimated-v1-2-2
- ...
Credits
The 'lcm.py' is adapted from https://github.com/flowtyone
Similar repos
Contributors
68 commits
Languages
Python
100.0%