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End of training

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README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: /shared/s1/lab06/wonyoung/diffusers/CXR_ti_nf
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+ datasets:
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+ - None
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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ - text-to-image
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+ - diffusers
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+ inference: true
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+ ---
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+
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+ # Text-to-image finetuning - Stomper10/CXR_unet_profile2
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+
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+ 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.']:
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+
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+ ![val_imgs_grid](./val_imgs_grid.png)
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+
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+
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+ ## Pipeline usage
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+
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+ You can use the pipeline like so:
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+
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+ ```python
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+ from diffusers import DiffusionPipeline
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+ import torch
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+
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+ pipeline = DiffusionPipeline.from_pretrained("Stomper10/CXR_unet_profile2", torch_dtype=torch.float16)
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+ prompt = "A photo of a lung-xray."
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+ image = pipeline(prompt).images[0]
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+ image.save("my_image.png")
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+ ```
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+
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+ ## Training info
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+
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+ These are the key hyperparameters used during training:
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+
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+ * Epochs: 1
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+ * Learning rate: 0.00128
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+ * Batch size: 32
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+ * Gradient accumulation steps: 1
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+ * Image resolution: 512
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+ * Mixed-precision: fp16
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+
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+
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+ More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/jwy4888/text2image-fine-tune/runs/mad6jfph).
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