How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("joelburlin/hoodslulu", dtype=torch.bfloat16, device_map="cuda")

prompt = "hoodslulu"
image = pipe(prompt).images[0]

hoodslulu Dreambooth model trained by joelburlin with Hugging Face Dreambooth Training Space with the v1-5 base model

You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!

Sample pictures of:

hoodslulu (use that on your prompt) hoodslulu 0hoodslulu 1hoodslulu 2hoodslulu 3hoodslulu 4hoodslulu 5hoodslulu 6hoodslulu 7hoodslulu 8hoodslulu 9hoodslulu 10hoodslulu 11hoodslulu 12hoodslulu 13hoodslulu 14hoodslulu 15hoodslulu 16hoodslulu 17hoodslulu 18hoodslulu 19

Downloads last month
1
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support