End of training

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: /shared/s1/lab06/wonyoung/diffusers/CXR_ti_nf
+datasets:
+- None
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+inference: true
+---
+    
+# Text-to-image finetuning - Stomper10/CXR_unet_profile2
+
+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.']: 
+
+![val_imgs_grid](./val_imgs_grid.png)
+
+
+## Pipeline usage
+
+You can use the pipeline like so:
+
+```python
+from diffusers import DiffusionPipeline
+import torch
+
+pipeline = DiffusionPipeline.from_pretrained("Stomper10/CXR_unet_profile2", 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: 0.00128
+* Batch size: 32
+* 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](https://wandb.ai/jwy4888/text2image-fine-tune/runs/mad6jfph).

feature_extractor/preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.21.0.dev0",
+  "_name_or_path": "/shared/s1/lab06/wonyoung/diffusers/CXR_ti_nf",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "PNDMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

safety_checker/config.json

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+  "_name_or_path": "/shared/s1/lab06/wonyoung/diffusers/CXR_ti_nf/safety_checker",
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scheduler/scheduler_config.json

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+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
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+  "clip_sample": false,
+  "num_train_timesteps": 1000,
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+  "timestep_spacing": "leading",
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+}

text_encoder/config.json

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tokenizer/added_tokens.json

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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unet/config.json

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vae/config.json

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