Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Min0326/path-to-save-model_xray", dtype=torch.bfloat16, device_map="cuda")
prompt = "a x ray image of human lung"
image = pipe(prompt).images[0]DreamBooth - Min0326/path-to-save-model_xray
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a x ray image of human lung using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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Base model
CompVis/stable-diffusion-v1-4