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("sunovivid/sit_pipeline", dtype=torch.bfloat16, device_map="cuda")

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

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

sit_pipeline/transformer/diffusion_pytorch_model.safetensors sit_pipeline/vae/diffusion_pytorch_model.safetensors should be included! (excluded from git repo due to the model size) you might download it from the DiT huggingface models

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