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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 .
@@ -128,13 +128,13 @@ 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
@@ -183,7 +183,7 @@ Update your own personal inference settings to generate different styles of imag
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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: