Instructions to use easylearning/FutureWorlds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use easylearning/FutureWorlds with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("easylearning/FutureWorlds", 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
Download bridge/codec/diffusion_pytorch_model.safetensors from easylearning/FutureWorlds: direct link, hf CLI and curl.
- Browser
- Download file 518 MB
-
https://huggingface.co/easylearning/FutureWorlds/resolve/main/bridge/codec/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://easylearning/FutureWorlds/bridge/codec/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/easylearning/FutureWorlds/resolve/main/bridge/codec/diffusion_pytorch_model.safetensors
518 MB
- Xet hash:
- de298d0fc2bb509e6afe0a83d5e566ff41c2674853debe7aacaefedc43e3da7f
- Size of remote file:
- 518 MB
- SHA256:
- 0dfb0bfe8543da0b27998ff685ad41d7e44d05fa003dfb1412006d045512db64
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