Instructions to use roblaughter/RobMixZenith with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use roblaughter/RobMixZenith with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("roblaughter/RobMixZenith", 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:
- 60042617a4eafa7ba70a2165f0ddb2d5ae77695709dde1d0fbc41998e29b50dd
- Size of remote file:
- 335 MB
- SHA256:
- 4e75c862029ca1d27e695de534a3f27aaf369db6cb7c915fec271260eb4f458a
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