Instructions to use qpqpqpqpqpqp/Inversion_DPO_Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use qpqpqpqpqpqp/Inversion_DPO_Lora with Diffusers:
pip install -U diffusers transformers accelerate
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] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Inversion-DPO
Not official Inversion-DPO loras extracted from this Stable Diffusion XL fine-tune: https://huggingface.co/ezlee258258/Inversion-DPO
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Model tree for qpqpqpqpqpqp/Inversion_DPO_Lora
Base model
stabilityai/stable-diffusion-xl-base-1.0 Finetuned
ashllay/Inversion-DPO