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.gitignore

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README.md

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 ---
-license: openrail
+language: en
+license: apache-2.0
+library_name: diffusers
+tags: []
+datasets: /content/drive/MyDrive/image_and_text
+metrics: []
 ---
+
+<!-- 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. -->
+
+# ddpm-butterflies-128
+
+## Model description
+
+This diffusion model is trained with the [🤗 Diffusers](https://github.com/huggingface/diffusers) library 
+on the `/content/drive/MyDrive/image_and_text` dataset.
+
+## 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 data
+
+[TODO: describe the data used to train the model]
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
+- gradient_accumulation_steps: 1
+- optimizer: AdamW with betas=(None, None), weight_decay=None and epsilon=None
+- lr_scheduler: None
+- lr_warmup_steps: 500
+- ema_inv_gamma: None
+- ema_inv_gamma: None
+- ema_inv_gamma: None
+- mixed_precision: fp16
+
+### Training results
+
+📈 [TensorBoard logs](https://huggingface.co/Tian7/ddpm-butterflies-128/tensorboard?#scalars)
+

model_index.json

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+{
+  "_class_name": "DDPMPipeline",
+  "_diffusers_version": "0.2.3",
+  "scheduler": [
+    "diffusers",
+    "DDPMScheduler"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DModel"
+  ]
+}