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  should probably proofread and complete it, then remove this comment. -->
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- # GameNgen fine-tuning - arnaudstiegler/sd-model-gameNgen
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  Full finetune of CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the P-H-B-D-a16z/ViZDoom-Deathmatch-PPO-Lrg dataset. You can find some example images in the following.
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- ![img_0](./image_0.png)
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- ![img_1](./image_1.png)
 
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  #### How to use
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- ```python
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- # TODO: add an example code snippet for running this diffusion pipeline
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- ```
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-
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- #### Limitations and bias
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-
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- [TODO: provide examples of latent issues and potential remediations]
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  ## Training details
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- [TODO: describe the data used to train the model]
 
 
 
 
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  should probably proofread and complete it, then remove this comment. -->
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+ # GameNgen fine-tuning - arnaudstiegler/gameNgen-baseline-20ksteps
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  Full finetune of CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the P-H-B-D-a16z/ViZDoom-Deathmatch-PPO-Lrg dataset. You can find some example images in the following.
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/600997fb731233b499672cbd/iTGZ2z-62z0qCXs0UOaxg.png)
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+ ![image/gif](https://cdn-uploads.huggingface.co/production/uploads/600997fb731233b499672cbd/BVTpTk9lUrurmOgdr3NA2.gif)
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  #### How to use
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+ See: https://github.com/arnaudstiegler/gameNgen-repro/blob/main/README.md
 
 
 
 
 
 
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  ## Training details
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+ 20k steps
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+ batch size 12
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+ 10 epochs
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+ with CFG data augmentation