Instructions to use zongzhuofan/EasyRef with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zongzhuofan/EasyRef with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zongzhuofan/EasyRef", 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
- Xet hash:
- c07088403c29a886d5c49d5b42427dfaff8a452c42f9917ad9cd6aa8506e50f5
- Size of remote file:
- 10.6 GB
- SHA256:
- f49787df96ebeba7503f4aaf4bfc24c027098f968f2842183fd7c0257f876b18
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