2d-art-sprites Dreambooth model trained by ana-tamais with TheLastBen's fast-DreamBooth notebook

You can test this model using this Colab Notebook for Inference

Sample pictures of 2dart concept:

<img src="https://huggingface.co/ana-tamais/2d-art-sprites/resolve/main/concept_images/2dart_1.png" width=256></img> <img src="https://huggingface.co/ana-tamais/2d-art-sprites/resolve/main/concept_images/2dart_4.png" width=256></img> <img src="https://huggingface.co/ana-tamais/2d-art-sprites/resolve/main/concept_images/2dart_9.png" width=256></img>

We saved the training data in dataset.zip, and some generated results in results.zip.

Some recommendations

We recommend to set the:

• prompt as: "[some wizard, paladin, healer, etc.], in the style of 2dart, white background, no background, full body"
• negative prompt as: "deformed, mutilated limbs, background, multiple people"
• guidance scale between 9 and 10
• sampling method as Euler
• sampling steps as 60
• batch size as 1 - avoid high batch size, unless you have a high memory GPU

This set of hyperparameters lead us to stable and good results.

This model was trained using images which the character has some human format or is a not deformed living being. So if you try to predict something like "sword, mirror, candle, etc" (non-living things), we saw the model doesn't perform so well.

You need at least a Tesla T4 to be able to run the inference step using the given notebook.