Instructions to use BestWishYsh/Helios-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BestWishYsh/Helios-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("BestWishYsh/Helios-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
Add files using upload-large-folder tool
Browse files
scheduler/scheduler_config.json
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"prediction_type": "flow_prediction",
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"rescale_betas_zero_snr": false,
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"sample_max_value": 1.0,
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"scheduler_type": "unipc",
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"solver_order": 2,
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"solver_p": null,
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"solver_type": "bh2",
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"prediction_type": "flow_prediction",
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"rescale_betas_zero_snr": false,
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"sample_max_value": 1.0,
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"solver_order": 2,
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"solver_p": null,
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"solver_type": "bh2",
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