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/pcam_normal_tumor", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of sks metastatic-lymph-node-tissue"
image = pipe(prompt).images[0]DreamBooth - anic87/pcam_normal_tumor
This is a dreambooth model derived from anic87/pcam_normal. The weights were trained on a photo of sks metastatic-lymph-node-tissue using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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