import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("GreeneryScenery/SheepsControlV4", dtype=torch.bfloat16, device_map="cuda")
prompt = "Turn this cat into a dog"
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(image=input_image, prompt=prompt).images[0]V4
3 epochs. 🤗 Best model yet. Check out the model on Replicate as well.
Examples
Click to expand
1.
Conditioning image:
Images:
arafed airplane flying in the sky with a green tail
arafed jet flying in the air with a royal air force logo on it
Jet
Plane
- Conditioning image:
Image:
Cute turtle
- Conditioning image:
Image:
A sheep
- Conditioning image:
Image:
A dog sitting down
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