import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("gfalcao/landscape-generator", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Run the text-to-image model by using the special prompt "ldsc". When using it in an image-to-image pipeline, always include the special token "ldsc"
This model is trained over Stable Diffusion 2.1 To run this on an image-to-image pipeline check this: https://huggingface.co/docs/diffusers/main/en/using-diffusers/img2img
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