Instructions to use Hyype/Brandao085 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hyype/Brandao085 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Hyype/Brandao085") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 89555de84c1618ad571760e1e48841ca1a2f4512a82b2457890335ce375e603f
- Size of remote file:
- 96.6 MB
- SHA256:
- 09a62c1d838ccdb5e626efcdcf0c7f4d2821e428696170b006d3160b9f93df4f
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