[+] Notes
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@@ -34,6 +34,11 @@ Simply run:
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pip install hdi1 --no-build-isolation
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```
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> [!NOTE]
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> It's recommended that you start a new python environment for this package to avoid dependency conflicts.
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> To do that, you can use `conda create -n hdi1 python=3.12` and then `conda activate hdi1`.
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> Or you can use `python3 -m venv venv` and then `source venv/bin/activate` on Linux or `venv\Scripts\activate` on Windows.
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### Command Line Interface
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Then you can run the module to generate images:
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@@ -45,7 +50,8 @@ python -m hdi1 "A cat holding a sign that says 'hello world'"
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python -m hdi1 "A cat holding a sign that says 'hello world'" -m fast
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```
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> **Note:** The module will automatically download `meta-llama/Meta-Llama-3.1-8B-Instruct` model files. If you encounter network issues, you can download these files ahead of time and place them in the appropriate cache directory to avoid download failures during inference.
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> [!NOTE]
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> The inference script will try to automatically download `meta-llama/Llama-3.1-8B-Instruct` model files. You need to [agree to the license of the Llama model](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on your HuggingFace account and login using `huggingface-cli login` in order to use the automatic downloader.
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### Web Dashboard
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