Instructions to use DrHouseFan-315/EFIG-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DrHouseFan-315/EFIG-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DrHouseFan-315/EFIG-1", 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:
- 53b96033d2ce12f0d13435f3e2697dd1ccc56810da41821ca714ea1dc681637b
- Size of remote file:
- 482 kB
- SHA256:
- fdc238e167e21cce6e4062ba48e9988a8581241375a9c45834ea7c1cdf180c15
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