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  Generate/augment your prompt, stable diffusion style.
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  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the Gustavosta/Stable-Diffusion-Prompts dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3089
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  - eval_steps_per_second = 17.201
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  - perplexity = 3.7022
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  ## Training and evaluation data
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  Generate/augment your prompt, stable diffusion style.
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  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the Gustavosta/Stable-Diffusion-Prompts dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3089
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  - eval_steps_per_second = 17.201
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  - perplexity = 3.7022
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+ ## example
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+ ![prompt](https://i.imgur.com/DKHoLtB.png)
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+ Results in (_DALL-E, but you get the idea_):
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+ ![sentient cheese astronaut](https://i.ibb.co/zrCf4BK/DALL-E-2022-11-09-12-17-40-sentient-cheese-robot-astronaut-highly-detailed-concept-art-eric-zener-el.png)
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+ this `distilgpt2` version is probably small/fast enough to be used locally on CPU!
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  ## Training and evaluation data
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