Instructions to use ipqhjjybj/alex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ipqhjjybj/alex with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ipqhjjybj/alex", 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:
- d8323e5f6aeee6cdc7b759bb5b2babfe12797d2f1b1f8fa9c1ebf0cc11f61feb
- Size of remote file:
- 3.44 GB
- SHA256:
- e72203ad293519ebb79b77bf5d6b185aea86c84ccdb014d9764ae20e980906e8
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