import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("cvnberk/cat", dtype=torch.bfloat16, device_map="cuda")
prompt = "photo of a <new1> cat"
image = pipe(prompt).images[0]Custom Diffusion - ckandemir/cat
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a cat using Custom Diffusion. You can find some example images in the following.
For more details on the training, please follow this link.
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