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:
- 5028f2dac8fc05913df74af8013bbfb0f0725a84bcfef59cb632bd7f6ed0a270
- Size of remote file:
- 492 MB
- SHA256:
- 7c0d66beab7e928904d9beaf4640bff3cb7885c5f917a9d3efddea056b5a8ec7
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