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("nagolinc/sd-dune", torch_dtype=torch.bfloat16, device_map="cuda")

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

This model was trained based off of https://huggingface.co/runwayml/stable-diffusion-v1-5 for 15000 steps using 2.5k images from https://dune.fandom.com/wiki/Dune_Wiki

Usage:

from diffusers import StableDiffusionPipeline
import torch

pipe=StableDiffusionPipeline.from_pretrained("nagolinc/sd-dune",dtype=torch.float16)
pipe.to("cuda")

image=pipe("shai hulud").images[0]

"bene gesserit" "bene gesserit"

"dune"

"dune"

"paul atreides" "paul atreides"

"shai hulud" "shai hulud"

"taylor swift" "taylor swift"

"yoda" "yoda"

"sandworm" "sandworm"

Downloads last month
17
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support