Instructions to use John6666/maple-mix-pony-v1-sdxl-spo-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use John6666/maple-mix-pony-v1-sdxl-spo-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("John6666/maple-mix-pony-v1-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("John6666/maple-mix-pony-v1-sdxl-spo-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
This repository is for testing SPO-SDXL LoRA. Simply applying it with a "weight=1.0 (default)" will help produce a high-definition image. It seems to be slightly prone to disorder in Pony-type models, but this can be mostly avoided by setting "clip skip=2" in your environment.
- Downloads last month
- 19
Model tree for John6666/maple-mix-pony-v1-sdxl-spo-lora
Base model
John6666/maple-mix-pony-v1-sdxl