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parameters update

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Johannes Stelzer 2023-01-15 16:59:08 +01:00
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- A value of 1 maintains a constant guidance scale.
- A value of 0 decreases the guidance scale to 1 at the midpoint of the transition.
## mid_compression_scaler
- Stretches the spacing towards the center.
- A value of 1 results in linear spacing.
- A value of 2 increases sampling density in the middle.
## num_inference_steps
- Determines the quality of the results.
- Higher values improve the outcome, but also require more computation time.