Instructions to use songkey/hm_control_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use songkey/hm_control_base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("songkey/hm_control_base", 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
- Xet hash:
- 541e627cdad5c4f9bb9c226b0ab1d419b297b8e7adefbd0c32012eed2d791e6d
- Size of remote file:
- 470 MB
- SHA256:
- 6762968d0a3cd356736403e2cc4fe63c8eaf0573cb7184b349fb4eedbc5bd9ea
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