Instructions to use mastergruffly/profile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mastergruffly/profile with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mastergruffly/profile", 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:
- de9947c7c3780e13181dff0931ac95c26025bbd0d34cf3efde8cc5305d3b35cc
- Size of remote file:
- 246 MB
- SHA256:
- 8d3c0653c3d4fd9889db1aafeaa6cb04da9e894b0cca151f1d829f98c6667987
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