Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("anic87/crc-tumor-text", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of sks tumor-tissue-histology"
image = pipe(prompt).images[0]DreamBooth - anic87/crc-tumor-text
This is a dreambooth model derived from stabilityai/stable-diffusion-2-1-base. The weights were trained on a photo of sks tumor-tissue-histology using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: True.
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Base model
stabilityai/stable-diffusion-2-1-base