import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("onkarsus13/ControlNet-Stable-Diffusion-3-Medium-Mask2MRI-AMOS", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]This Model is first pre-trained on the ATLAS dataset, Then we further finetuned on the AMOS MRI set. You can find the pre-trained model here
https://huggingface.co/onkarsus13/Semantic-Control-Stable-diffusion-3-M-Mask2CT-Atlas
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