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carlosabadia / hasbulla
Model's Last Updated: February 27 2023
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Introduction of hasbulla
Model Details of hasbulla
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!
Hasbulla Van Gogh pic.twitter.com/5f0uPKhi6U
— Hasbulla 🐐 (@HasbullaHive) January 4, 2023
Images generated by model
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")
Runs of carlosabadia hasbulla on huggingface.co
16
Total runs
0
24-hour runs
4
3-day runs
4
7-day runs
7
30-day runs
More Information About hasbulla huggingface.co Model
Url of hasbulla
hasbulla huggingface.co Url
Provider of hasbulla huggingface.co
Other API from carlosabadia