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--- |
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license: mit |
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library_name: diffusers |
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pipeline_tag: text-to-image |
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--- |
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# Mann-E Dreams |
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<p align="center"> |
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<img src="./sample-16.png" width=512 height=512 /> |
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</p> |
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## Description |
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This is the newest SDXL based model from [Mann-E](https://mann-e.com) platform, which is a generative AI startup based in Iran. This model used thousands of midjourney generated images in order to make it possible to make high-quality images. Also, we've used a lot of tricks in order to make it possible to make the model as fast as SDXL Turbo or any other model which claims to be fast. |
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The model has been mostly developed by Founder and CEO of Mann-E, [Muhammadreza Haghiri](https://haghiri75.com/en) and his team. We spent months on collecting the data, labeling them and training this model. The model is _mostly uncensored_ and tested with Automatic1111. |
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## Model Settings |
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- CLIP Skip: 1 or 2 are both fine. 1 gives better results. |
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- Steps: 4-16. Usually 6 ~ 8 is perfect. |
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- CFG Scale: 3-5. |
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- Scale: Unlike our old model, this version supports images up to 1280x1280! Although we recommend 1024x1024 for HD Square images. |
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- Sampler : DPM++ SDE Karras |
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## Additional Notes |
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- SDXL 1.0 LoRas are working just fine with the model. |
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- ControlNet, IPAdapter, InstantID are just fine. |
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## Donations |
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- __Tron/USDT (TRC20)__ : `TPXpiWACUZXtUszDbpLeDYR75NQTwngD8o` |
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- __ETH (ERC20)__: `0x44e262f121b88bcb21caac3d353edd78c3717e08` |
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## Special Thanks |
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Special thanks to [RunPod](https://runpod.io) for making the training of the model possible. |
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