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| --- |
| license: creativeml-openrail-m |
| base_model: kandinsky-community/kandinsky-2-2-decoder |
| prior: |
| - ECLIPSE-Community/Lambda-ECLIPSE-Prior-v1.0 |
| tags: |
| - λ-ECLIPSE |
| - ECLIPSE |
| - kandinsky |
| - text-to-image |
| - diffusers |
| inference: true |
| --- |
| |
| # Finetuning - mpatel57/backpack_dog |
| |
| This pipeline was finetuned from **kandinsky-community/kandinsky-2-2-decoder**. Below are some example images generated with the finetuned pipeline using the following prompts: ['A dog']: |
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| Note: these example images should not follow the original target concept!! This is to ensure that there is not overfitting. |
| ## Pipeline usage |
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| ## Training info |
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| These are the key hyperparameters used during training: |
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| * Epochs: 200 |
| * Learning rate: 1e-05 |
| * Batch size: 1 |
| * Gradient accumulation steps: 4 |
| * Image resolution: 768 |
| * Mixed-precision: None |
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| More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/apg-cogint/text2image-fine-tune/runs/pkv8k94o). |
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