import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/sd-turbo", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("pbarbarant/sd-sonio")
prompt = "A healthy cardiac image from a Philipps scanner. The image should exhibit a high level of speckle noise like on the ultrasound or sar images."
image = pipe(prompt).images[0]sd-sonio
- Prompt
- A healthy cardiac image from a Philipps scanner. The image should exhibit a high level of speckle noise like on the ultrasound or sar images.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 6
Model tree for pbarbarant/sd-sonio
Base model
stabilityai/sd-turbo