Instructions to use max786/HardBlnd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use max786/HardBlnd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("max786/HardBlnd", 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:
- bbe22f86c4da06d3be8e0259ea7a5951e188e4f3234f3dd6d6e8abeb6cb764d1
- Size of remote file:
- 1.72 GB
- SHA256:
- 0800ed3a62b708b5d0899ea6a97177089b563124cb3c278cccda748fe3f29fc0
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