DreamBooth model for the hasbulla concept trained by carlosabadia on the carlosabadia/hasbulla dataset. DreamBooth Hackaton's Winner! 🏆
This is a Stable Diffusion model fine-tuned on the hasbulla concept with DreamBooth. It can be used by modifying the instance_prompt: hasbulla person
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 Hasbulla images for the wildcard theme.
It was also featured in Hasbulla's Twitter account!
Images generated by model
<img src=https://i.imgur.com/Sqfr7ae.jpg width=70% height=70%>
Gradio & Colab
Model supported in a Gradio Web UI and Colab:
Usage
import torch
from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
pipe = StableDiffusionPipeline.from_pretrained(
"carlosabadia/hasbulla",
scheduler = DPMSolverMultistepScheduler.from_pretrained("carlosabadia/hasbulla", subfolder="scheduler"),
torch_dtype=torch.float16,
).to("cuda")
guidance_scale = 7
prompt = "A portrait of hasbulla person"
images = pipe(prompt, num_images_per_prompt=1, num_inference_steps=25, guidance_scale=guidance_scale).images
image = images[0]
image.save("hasbulla.png")