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README.md
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@@ -117,7 +117,7 @@ To ensure that our generative model is ready to use right out of the box, we pro
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### CLI
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1. Install Lumina-T2I
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```bash
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pip install -e .
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⭐⭐ (Recommanded) you can use huggingface_cli downloading our model:
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```bash
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huggingface-cli download --resume-download Alpha-VLLM/Lumina-T2I --local-dir /path/to/ckpt
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```
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or using git for cloning the model you want to use:
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```bash
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git clone https://huggingface.co/Alpha-VLLM/Lumina-T2I
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```
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1. Setting your personal inference configuration
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```
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- model:
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- `ckpt`: lumina-t2i checkpoint path from [huggingface repo](https://huggingface.co/Alpha-VLLM/Lumina-T2I) containing `consolidated*.pth` and `model_args.pth`.
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- `ckpt_lm`: LLM checkpoint.
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- `token`: huggingface access token for accessing gated repo.
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- transport:
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### CLI
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1. Install Lumina-Next-T2I
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```bash
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pip install -e .
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⭐⭐ (Recommanded) you can use huggingface_cli downloading our model:
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```bash
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huggingface-cli download --resume-download Alpha-VLLM/Lumina-Next-T2I --local-dir /path/to/ckpt
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```
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or using git for cloning the model you want to use:
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```bash
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git clone https://huggingface.co/Alpha-VLLM/Lumina-Next-T2I
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```
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1. Setting your personal inference configuration
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```
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- model:
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+
- `ckpt`: lumina-next-t2i checkpoint path from [huggingface repo](https://huggingface.co/Alpha-VLLM/Lumina-Next-T2I) containing `consolidated*.pth` and `model_args.pth`.
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- `ckpt_lm`: LLM checkpoint.
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- `token`: huggingface access token for accessing gated repo.
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- transport:
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