import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("ezlee258258/Inversion-DPO,ashllay/Inversion-DPO", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("qpqpqpqpqpqp/Inversion_DPO_Lora")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Inversion-DPO
Not official Inversion-DPO loras extracted from this Stable Diffusion XL fine-tune: https://huggingface.co/ezlee258258/Inversion-DPO
- Downloads last month
- 10
Model tree for qpqpqpqpqpqp/Inversion_DPO_Lora
Base model
stabilityai/stable-diffusion-xl-base-1.0 Finetuned
ashllay/Inversion-DPO