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  <p align="center">
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  <img src="./lumina-logo.png" width="30%"/>
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  <br>
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  Our generative model has `LargeDiT` as the backbone, the text encoder is the `LLaMa` 7B model, and the VAE uses a version of `sdxl` fine-tuned by stabilityai.
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  - Generation Model: Large-DiT
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- - Text Encoder: LLaMa-7B
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  - VAE: stabilityai/sd-vae-ft-sdxl
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  ## 📰 News
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  | Resolution | Flag-DiT Parameter| Text Encoder | Prediction | Download URL |
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  | ---------- | ----------------------- | ------------ | -----------|-------------- |
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- | 1024 | 5B | LLaMa-7B | Rectified Flow | [hugging face](https://huggingface.co/Alpha-VLLM/Lumina-T2I/tree/main) |
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  ## Installation
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  # use ema model
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  python -u demo.py --ckpt "/path/to/ckpt" --ema
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- ```
 
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+ ---
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+ license: apache-2.0
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+ ---
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  <p align="center">
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  <img src="./lumina-logo.png" width="30%"/>
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  <br>
 
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  Our generative model has `LargeDiT` as the backbone, the text encoder is the `LLaMa` 7B model, and the VAE uses a version of `sdxl` fine-tuned by stabilityai.
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  - Generation Model: Large-DiT
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+ - Text Encoder: LLaMA2-7B
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  - VAE: stabilityai/sd-vae-ft-sdxl
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  ## 📰 News
 
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  | Resolution | Flag-DiT Parameter| Text Encoder | Prediction | Download URL |
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  | ---------- | ----------------------- | ------------ | -----------|-------------- |
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+ | 1024 | 5B | LLaMA2-7B | Rectified Flow | [hugging face](https://huggingface.co/Alpha-VLLM/Lumina-T2I/tree/main) |
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  ## Installation
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  # use ema model
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  python -u demo.py --ckpt "/path/to/ckpt" --ema
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+ ```