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mpatel57
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backpack_dog

Text-to-Image
Diffusers
Safetensors
KandinskyV22Pipeline
λ-ECLIPSE
ECLIPSE
kandinsky
Inference Endpoints
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metadata
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']:

val_imgs_grid

Note: these example images should not follow the original target concept!! This is to ensure that there is not overfitting.

Pipeline usage

Training info

These are the key hyperparameters used during training:

  • Epochs: 200
  • Learning rate: 1e-05
  • Batch size: 1
  • Gradient accumulation steps: 4
  • Image resolution: 768
  • Mixed-precision: None

More information on all the CLI arguments and the environment are available on your wandb run page.