Instructions to use BestWishYsh/Helios-Mid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BestWishYsh/Helios-Mid 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-Mid", 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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"stages": 3,
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"time_shift_type": "
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"thresholding": false,
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"use_dynamic_shifting": true,
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"use_flow_sigmas": true
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"stages": 3,
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"time_shift_type": "exponential",
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"thresholding": false,
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"use_dynamic_shifting": true,
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"use_flow_sigmas": true
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