Instructions to use OlafII/papercutcraft-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OlafII/papercutcraft-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OlafII/papercutcraft-v1", dtype=torch.bfloat16, device_map="cuda") 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
Paper Cut Craft is a fine tuned Stable Diffusion model trained on Midjourney images
Use in prompt: "papercutcraft style"
Trained on Stable Diffusion v1.5 using Dreambooth
Gradio
We support a Gradio Web UI to run papercutcraft-v1:
Paper Cut Craft Rendered:
Steps: 50, Default Automatic1111 settings, Prompt: "papercutcraft style"
Training Info
Trained on 20 images with 3600 Steps
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