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:
- 2e10800f0399c97dc15d8504c25ab1b0869fbf3266f8fe7354291c54fe1b3cf9
- Size of remote file:
- 335 MB
- SHA256:
- 2dec0ce610b095f77b378d705ac15990f89ce38d7a7db04421d018857711feea
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