import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Aphophis420/stargate", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]stargate Dreambooth model trained by Aphophis420 with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
prompt:((stargate)), big blue portal, alien technology, scifi, wallpaper, 4k wallpaper Negative prompt: artifacts, blurry, bad photo, more than one circle Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 3508411931, Size: 720x480, Model hash: aa7001cf (upscaled)
((stargate)), big blue portal, alien technology, scifi, wallpaper, 4k wallpaper, centered, symetrical, intricate Negative prompt: artifacts, blurry, bad photo, more than one circle, person, human Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 1318092133, Size: 720x480, Model hash: aa7001cf, Denoising strength: 0.7, First pass size: 0x0
prompt: "stargate"
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