# imagen image generator using various Text2Image models The goal is to compare across a range of different prompt types: - made up - 'panda riding a bicycle' - artistic - detailed prompts with styles - concepts - 'how does a panic attack feel' - style transfer - xx in style of Warhol - photos, drawings, illustrations, diagrams - other types of imaginative prompts Often using replicate API https://replicate.com/docs/api/getting-started-public - See list of models in [data/configs.py](https://github.com/dcsan/imagen/blob/master/./data/configs.py) - Renders get saved into [output/renders](https://github.com/dcsan/imagen/blob/master/./output/renders) - Markdown gallery like [this one](https://github.com/dcsan/imagen/blob/master/./gallery-3.md) # Setup get an API key from replicate and export it https://replicate.com/docs/api/getting-started-public for example `cp .env.example .env` edit the `.env` file to add your key then `source .env` ```bash # first time: install virtual env: python3 -m venv venv # activate venv source venv/bin/activate # install pip modules pip install -r requirements.txt ``` # Running `make run` This will execute the `run` command inside the [Makefile](https://github.com/dcsan/imagen/blob/master/./Makefile) Depending on what's configured, it should output images into `renders/` Have a look at the `cli.py` to see what commands are available. # Output Renders get saved into [output/renders](https://github.com/dcsan/imagen/blob/master/./output/renders) Another command makes a markdown gallery like [this one](https://github.com/dcsan/imagen/blob/master/./gallery-3.md) Full link to anchor example: https://github.com/dcsan/imagen/blob/main/gallery-3.md#octopus-riding-skateboard-22826850 # References settings: https://dazhizhong.gitbook.io/pixray-docs/docs/primary-settings ## artstyles: https://bardotbrush.com/30-art-styles-to-try-in-procreate/

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