import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Falah/spacemidj", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]spacemidj Dreambooth model trained by Falah
spacemidj Diffusion is a general-purpose model based on Stable Diffusion 1.x intended to replace the official SD releases as your default model. It is focused on providing high-quality output in a wide range of midjourney style in space and galaxy style output images in high resolution
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
examples prompts ="war in the space "" or another prompt "spacecraft in the space with spacemidj style "
),stars,((sky)),spacemidj_style.png)
),((galaxy)),spacemidj_style.png)
),((galaxy)),spacemidj_style.png)
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