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--- |
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license: creativeml-openrail-m |
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language: |
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- en |
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library_name: diffusers |
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pipeline_tag: text-to-image |
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tags: |
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- stable-diffusion |
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- stable-diffusion-diffusers |
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- text-to-image |
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inference: |
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parameters: |
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num_inference_steps: 50 |
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guidance_scale: 5.0 |
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eta: 1.0 |
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--- |
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# ddpo-incompressibility |
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This model was finetuned from [Stable Diffusion v1-4](https:/CompVis/stable-diffusion-v1-4) using [DDPO](https://arxiv.org/abs/2305.13301) and a reward function encouraging images that are _not_ JPEG-compressible. See [the project website](https://rl-diffusion.github.io/) for more details. |
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The model was finetuned for 20 iterations with a batch size of 256 samples per iteration. During finetuning, it was prompted with all of the animals in the [Imagenet-1000](https://deeplearning.cms.waikato.ac.nz/user-guide/class-maps/IMAGENET/) categories (the first 398 categories), but it exhibits some generalization to other prompts. |
