import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Zilun/GeoRSSD", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]GeoRSSD
- Stable Diffusion (2.1) fine-tuned by RS5M with 1%(1p) data and 20% data(20p)
Please refer to this repo for using checkpoint to inference.
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