Instructions to use TheLastBen/Papercut_SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheLastBen/Papercut_SDXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TheLastBen/Papercut_SDXL") prompt = "papercut" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Papercut Style
SDXL LoRA by TheLastBen
Prompts to start with :
papercut -subject/scene-
Trained using https://github.com/TheLastBen/fast-stable-diffusion SDXL trainer.
Sample pictures:
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Model tree for TheLastBen/Papercut_SDXL
Base model
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