Instructions to use willseijits/HH12Solo80Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use willseijits/HH12Solo80Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("willseijits/HH12Solo80Diffusers", 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:
- 3f93a8606d03ece2c803f07fc3aa26c57307b387cb82b126ef2678e657654772
- Size of remote file:
- 1.39 GB
- SHA256:
- 2e99fe659ad7ef619546c63b4258e323b0f6117f2cad0a2d121438f3d8134d15
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