Fix parameter count inconsistency in README
#2
by BananaMindBot - opened
README.md
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The model is a tiny diffusion transformer (DiT) with ~105M parameters.
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- Pipeline: text-to-image
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- Parameter Count: 104.
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- Encoder: frozen [Flan-T5-Base](https://huggingface.co/google/flan-t5-base)
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- VAE: [SD-VAE-FT-MSE](https://huggingface.co/stabilityai/sd-vae-ft-mse)
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- Image resolution: 256²
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---
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## Acknowledgments
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- Thank you, FLUX-Reason-6M team, for proving the [LucasFang/FLUX-Reason-6M](https://huggingface.co/datasets/LucasFang/FLUX-Reason-6M) dataset. Without **your** work, this would never be possible!
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## What's next
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We will keep improving Supra2-IMG, maybe for a next-gen like Supra2.5-IMG, and we will share our progress and findings on the way to the best open-source T2I model 🤗<br>
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Please give us a like and a follow on Hugging Face if you want to support our work!
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The model is a tiny diffusion transformer (DiT) with ~105M parameters.
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- Pipeline: text-to-image
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- Parameter Count: 104.1M
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- Encoder: frozen [Flan-T5-Base](https://huggingface.co/google/flan-t5-base)
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- VAE: [SD-VAE-FT-MSE](https://huggingface.co/stabilityai/sd-vae-ft-mse)
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- Image resolution: 256²
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## Acknowledgments
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- Thank you, FLUX-Reason-6M team, for proving the [LucasFang/FLUX-Reason-6M](https://huggingface.co/datasets/LucasFang/FLUX-Reason-6M) dataset. Without **your** work, this would never be possible!
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## What's next
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We will keep improving Supra2-IMG, maybe for a next-gen like Supra2.5-IMG, and we will share our progress and findings on the way to the best open-source T2I model 🤗<br>
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+
Please give us a like and a follow on Hugging Face if you want to support our work!
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