import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("hanzogak/comradeshipLU-v2", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Comradeship LU (v2 release)
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comradeshipLU-v2 "Robinson"
This is a tuning model based on neta-lumina-v1.0.
The model LoRA merging formula is the same as v2T22, and it is to apply the changed license as the license of neta-lumina-v1.0 was changed to Apache License 2.0.
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