End of training

README.md

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+---
+base_model: CompVis/stable-diffusion-v1-4
+library_name: diffusers
+license: creativeml-openrail-m
+inference: true
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- textual_inversion
+- diffusers-training
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# Textual inversion text2image fine-tuning - Abhijnyabhat/fo
+These are textual inversion adaption weights for CompVis/stable-diffusion-v1-4. You can find some example images in the following. 
+
+
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# TODO: add an example code snippet for running this diffusion pipeline
+```
+
+#### Limitations and bias
+
+[TODO: provide examples of latent issues and potential remediations]
+
+## Training details
+
+[TODO: describe the data used to train the model]

feature_extractor/preprocessor_config.json

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+    "width": 224
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+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
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+    0.4578275,
+    0.40821073
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+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
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+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
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logs/textual_inversion/1730765829.9775069/hparams.yml

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+mixed_precision: 'no'
+no_safe_serialization: false
+num_train_epochs: 3
+num_validation_images: 4
+num_vectors: 1
+output_dir: utkface/fo
+placeholder_token: <fo-person>
+pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
+push_to_hub: true
+repeats: 100
+report_to: tensorboard
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model_index.json

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+  "_diffusers_version": "0.32.0.dev0",
+  "_name_or_path": "CompVis/stable-diffusion-v1-4",
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+  "safety_checker": [
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+  "scheduler": [
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+  "vae": [
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+  ]
+}

safety_checker/config.json

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scheduler/scheduler_config.json

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tokenizer/added_tokens.json

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tokenizer/special_tokens_map.json

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