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README.md
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Training was done using a slightly modified version of Hugging-Face's text to image training [example script](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image.py)
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```py
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from diffusers import StableDiffusionPipeline, LMSDiscreteScheduler
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import torch
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image.save("astronaut_rides_horse.png")
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```
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## About
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Put in a text prompt and generate cartoony/simpsony images
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**A beautiful hungry demon girl, John Philip Falter, Very detailed painting, Mark Ryden**
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![A beautiful hungry demon girl, John Philip Falter, Very detailed painting, Mark Ryden](https://huggingface.co/Norod78/sd-simpsons-model/raw/main/examples/00496-2202810362-A%20beautiful%20hungry%20demon%20girl,%20John%20Philip%20Falter,%20Very%20detailed%20painting,%20Mark%20Ryden.jpg)
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**Gal Gadot, cartoon**
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![Gal Gadot, cartoon](https://huggingface.co/Norod78/sd-simpsons-model/raw/main/examples/00323-2574793241-Gal%20Gadot,%20cartoon.jpg)
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## More examples
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The [examples](https://huggingface.co/Norod78/sd-simpsons-model/tree/main/examples) folder contains a few images generated by this model's ckpt file using [stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) which means their EXIF info contain the parameter used to generate them
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## Dataset and Training
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Finetuned for 10,000 iterations upon [Runway ML's Stable-Diffusion v1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5) on [BLIP captioned Simpsons images](https://huggingface.co/datasets/Norod78/simpsons-blip-captions) using 1xA5000 GPU on my home desktop computer
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Training was done using a slightly modified version of Hugging-Face's text to image training [example script](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image.py)
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## About
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Put in a text prompt and generate cartoony/simpsony images
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**A beautiful hungry demon girl, John Philip Falter, Very detailed painting, Mark Ryden**
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![A beautiful hungry demon girl, John Philip Falter, Very detailed painting, Mark Ryden](https://huggingface.co/Norod78/sd-simpsons-model/raw/main/examples/00496-2202810362-A%20beautiful%20hungry%20demon%20girl,%20John%20Philip%20Falter,%20Very%20detailed%20painting,%20Mark%20Ryden.jpg)
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**Gal Gadot, cartoon**
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![Gal Gadot, cartoon](https://huggingface.co/Norod78/sd-simpsons-model/raw/main/examples/00323-2574793241-Gal%20Gadot,%20cartoon.jpg)
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## More examples
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The [examples](https://huggingface.co/Norod78/sd-simpsons-model/tree/main/examples) folder contains a few images generated by this model's ckpt file using [stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) which means their EXIF info contain the parameter used to generate them
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## Sample code
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```py
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from diffusers import StableDiffusionPipeline, LMSDiscreteScheduler
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import torch
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image.save("astronaut_rides_horse.png")
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```
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## Dataset and Training
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Finetuned for 10,000 iterations upon [Runway ML's Stable-Diffusion v1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5) on [BLIP captioned Simpsons images](https://huggingface.co/datasets/Norod78/simpsons-blip-captions) using 1xA5000 GPU on my home desktop computer
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