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:
- 9e38fb8ecc48d99840e554ed2dbb03b5b4c58ded24d5ad203338c9f0c9d384e4
- Size of remote file:
- 167 MB
- SHA256:
- 58ef0d0479d51fbf66c5932427994f1ffa2752fc174c040c7ea3cb3fe8fd3f9e
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