import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("cosmo3769/test-model-template-card-t2i-sdxl", 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 - cosmo3769/t2i-sdxl
This pipeline was finetuned from runwayml/stable-diffusion-v1-5 on the text-to-image dataset. Below are some example images generated with the finetuned pipeline using the following prompt: good:
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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Model tree for cosmo3769/test-model-template-card-t2i-sdxl
Base model
runwayml/stable-diffusion-v1-5