minecraft-skin-model

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Text-to-image finetuning - deepwaterhorizon/minecraft-skin-model

This pipeline was finetuned from stabilityai/stable-diffusion-2 on the deepwaterhorizon/minecraft-skins-legacy dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['A man in a purple suit wearing a tophat']:

Pipeline usage

You can use the pipeline like so:

from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("deepwaterhorizon/minecraft-skin-model", torch_dtype=torch.float16)
prompt = "A man in a purple suit wearing a tophat"
image = pipeline(prompt).images[0]
image.save("my_image.png")

Training info

These are the key hyperparameters used during training:

• Epochs: 83
• Learning rate: 1e-05
• Batch size: 1
• Gradient accumulation steps: 4
• Image resolution: 768
• Mixed-precision: fp16

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

Intended uses & limitations

How to use

# 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]