import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("michaelee0407/path-to-save-model-pathImages")
prompt = "a photo of Cancer Genome Atlas Colon Adenocarcinoma (TCGA-COAD) image"
image = pipe(prompt).images[0]LoRA DreamBooth - michaelee0407/path-to-save-model-pathImages
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of Cancer Genome Atlas Colon Adenocarcinoma (TCGA-COAD) image using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
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