pytorch diffusers stable-diffusion text-to-image diffusion-models-class dreambooth-hackathon wildcard

DreamBooth model for the bergraffi concept trained by bakebrain.

This is a Stable Diffusion model fine-tuned on the bergraffi concept with DreamBooth. It can be used by modifying the instance_prompt: photo of bergraffi futuristic cyberpunk portrait painted by van gogh

This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!

Description

This is a Stable Diffusion model fine-tuned on Berlin graffiti images.

Sample Images

150+ generated images can be found here: https://imgur.com/a/0Q00Rq7

<table> <tr> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_1.png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_2.png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_3.png" style="height:200px"> </td> </tr> <tr> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_4.png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_5.png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_6.png" style="height:200px"> </td> </tr> <tr> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_7.png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_8.png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_9.png" style="height:200px"> </td> </tr> <tr> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_10.png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_11.png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_12.png" style="height:200px"> </td> </tr> <tr> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_13.png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_14.png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_15.png" style="height:200px"> </td> </tr> <tr> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_16.png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_17.png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/bakebrain/bergraffi-berlin-graffiti/resolve/main/sample_images/bergraffi_sample_18.png" style="height:200px"> </td> </tr> </table>

Usage

Experiment with the guidance scale! Enjoy!

from diffusers import StableDiffusionPipeline

pipeline = StableDiffusionPipeline.from_pretrained('bakebrain/bergraffi-berlin-graffiti')
prompt = "photo of bergraffi futuristic cyberpunk portrait painted by van gogh"
guidance_scale = 12
image = pipeline(prompt, guidance_scale=guidance_scale).images[0]
image