Instructions to use Mobius-labs/JenL_demo1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mobius-labs/JenL_demo1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mobius-labs/JenL_demo1", 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:
- e203c1702458e544231589499e0d5cb907fa39cb1876f891204cd9af34b90714
- Size of remote file:
- 492 MB
- SHA256:
- 46347e8f85963e61925c33b8d4bd673ba3f5f8e9bda802adde99f988260b8c2c
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