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-normal-text", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of sks tissue-histology-without-tumor"
image = pipe(prompt).images[0]YAML Metadata Error:"base_model" with value "/projects/ac67/projects/diffusers/examples/dreambooth/crc-tumor-text/" is not valid. Use a model id from https://hf.co/models.
DreamBooth - anic87/crc-tumor-normal-text
This is a dreambooth model derived from /projects/ac67/projects/diffusers/examples/dreambooth/crc-tumor-text/. The weights were trained on a photo of sks tissue-histology-without-tumor using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: True.
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