import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Shakker-Labs/AWPortraitCN2", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]AWPortraitCN2
The new version of AWPortraitCN2, as an upgraded version of AWPortraitCN, delves deeper into and explores a broader spectrum of Eastern aesthetics. In terms of character portrayal, it now encompasses a wider range of facial data across all age groups. It also responds more effectively to themes such as cuisine, architecture, environments, and a variety of traditional ethnic costumes. Whether you’re drawn to minimalist, poetic landscapes or the vibrant, everyday life of streets and neighborhoods, this update allows for a richer and more intuitive creative journey.
Showcases
Trigger words
No trigger words are requireds. LoRA recommends a weight of 0.9-1.
Acknowledgements
This model is trained by our copyrighted users DynamicWang. We release this model under permissions. The model follows flux-1-dev-non-commercial-license.
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