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Stomper10/CXR_unet_profile

sourceHugging Facecreativeml-openrail-mupdated 3y agoView on Hugging Face

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Model Card

license: creativeml-openrail-m basemodel: /shared/s1/lab06/wonyoung/diffusers/CXRti_nf datasets:

—None tags:
—stable-diffusion
—stable-diffusion-diffusers
—text-to-image
—diffusers inference: true ---

Text-to-image finetuning - Stomper10/CXRunetprofile

This pipeline was finetuned from /shared/s1/lab06/wonyoung/diffusers/CXR_ti_nf on the None dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['A photo of a lung-xray.']:

[image]

Pipeline usage

You can use the pipeline like so:

python

from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("Stomper10/CXR_unet_profile", torch_dtype=torch.float16)
prompt = "A photo of a lung-xray."
image = pipeline(prompt).images[0]
image.save("my_image.png")

Training info

These are the key hyperparameters used during training:

—Epochs: 1
—Learning rate: 4e-05
—Batch size: 1
—Gradient accumulation steps: 1
—Image resolution: 512
—Mixed-precision: fp16

More information on all the CLI arguments and the environment are available on your `wandb` run page.