Instructions to use aejion/WorldPlay2-Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aejion/WorldPlay2-Fast with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aejion/WorldPlay2-Fast", 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
Upload folder using huggingface_hub
Browse files
high_noise_model/diffusion_pytorch_model.safetensors
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low_noise_model/diffusion_pytorch_model.safetensors
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oid sha256:3ddaae86ec2cbf311ed3f4e8df804bb4f208103e4cd913ab732f0f970aa2e3d0
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size 34922480464
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