Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("jajaja555/test_250511_1", dtype=torch.bfloat16, device_map="cuda")
prompt = "An Optical Coherence Tomography B-scan image of a Macular Hole, six months post-surgery with poor visual outcome."
image = pipe(prompt).images[0]DreamBooth - jajaja555/test_250511_1
This is a dreambooth model derived from jajaja555/SD-v1.5_fullFT__OCT2017_20240415__30000steps_1e-07__mse. The weights were trained on An Optical Coherence Tomography B-scan image of a Macular Hole, six months post-surgery with poor visual outcome. using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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