import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stilletto/AlbedoBaseXLv2.0", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]From Civitai
AlbedoBase XL v2.0 The refiner is unnecessary, and VAE is included. Leaving the negative prompt empty generally brings about the best quality. As of now, AlbedoBase XL v1.3 has merged exactly 141 selected checkpoints and 251 LoRAs.
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