How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("nroggendorff/fry-diffusion", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Text-to-image finetuning - nroggendorff/fry-diffusion

This pipeline was finetuned from glides/illustriousxl on the nroggendorff/fries dataset. Below are some example images generated with the finetuned pipeline using the following prompt: None:

Special VAE used for training: None.

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]

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