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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0a6b1d09e7c46725e7a91df08454dc7bdc1a8d1d4ee1506c6ed5ea9084128f56
- Size of remote file:
- 167 MB
- SHA256:
- 16afa1be547d2aaa71373b9f37008be9765582d2384f2e5006e8c293196368e6
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