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RiddleHe/
SD14_pathology_lora

Name: SD14_pathology_lora
Availability: InStock

diffusers

safetensors

stable-diffusion

stable-diffusion-diffusers

text-to-image

diffusers-training

lora

CompVis/stable-diffusion-v1-4

adapter

creativeml-openrail-m

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LoRA text2image fine-tuning - RiddleHe/SD14_pathology_lora

These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the None dataset. You can find some example images in the following.

Intended uses & limitations

How to use

python

pipe = DiffusionPipeline.from_pretrained(
  "CompVis/stable-diffusion-v1-4", torch_dtype=torch.float16
)

pipe.load_lora_weights("RiddleHe/SD14_pathology_lora")
pipe.to('cuda')

prompt = "A histopathology image of breast cancer tissue"

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

This model is trained on 28216 breast cancer tissue images from the BRCA dataset.