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("Bugjuhjugjyy/bfb", dtype=torch.bfloat16, device_map="cuda")

prompt = "cat from bfb"
image = pipe(prompt).images[0]

bfb Dreambooth model trained by Bugjuhjugjyy with TheLastBen's fast-DreamBooth notebook

Test the concept via A1111 Colab fast-Colab-A1111

cats are so good here: c4938704-523c-48c5-96ad-ecaec7192f76.jpeg this one's chill

291b75ef-c6d4-469f-b81c-dd89447a8c96.jpeg him too ๐Ÿ˜Ž

c69670aa-cb45-4581-9239-024c9f861f53.jpeg why is this good? (prompt is cat from bfb for all)

c02fbefb-49b4-4763-806e-cb686145f7d9.jpeg

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