Instructions to use lime8817/epicflax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lime8817/epicflax with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lime8817/epicflax", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f77ebf87df01b092c0ccfff0f63f685e0981fa162ab73e662accca0b099f02b1
- Size of remote file:
- 492 MB
- SHA256:
- e0f4571b2b3af76faa9ee6e602d1f31c5008c98a7413b04af0f2abc1b400fa83
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