README fixes

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asagi4
2025-06-23 20:54:34 +03:00
parent 6d50f33811
commit d8925592a1
+4 -3
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@@ -19,13 +19,14 @@ The node sets a unet wrapper function, but attempts to preserve any existing wra
`start_step` and `total_steps` are optional values that affect how the noise scaling schedule is calculated. If `start_step` is greater or equal to `total_steps`, the algorithm uses the sampler's timestep value instead which is not necessarily linear as it's affected by the sampler scheduler. `start_step` and `total_steps` are optional values that affect how the noise scaling schedule is calculated. If `start_step` is greater or equal to `total_steps`, the algorithm uses the sampler's timestep value instead which is not necessarily linear as it's affected by the sampler scheduler.
`apply_to` allows you to apply the noise selectively, defaulting to `uncond`. `key` selects where to add the noise. `apply_to` allows you to apply the noise selectively, defaulting to `both`. `key` selects where to add the noise.
`noise_type` determines the probability distribution of the generated noise. `noise_type` determines the probability distribution of the generated noise.
`seed` can be used to set the seed for the generated noise. If it's -1, the global seed will be used.
# Bugs # Bugs
Noise was previously applied to cross attention. It's now applied by default to the regular conditioning `y`, which seems to make more sense. Use the `key` parameter to restore the old behaviour. Noise was previously applied to cross attention. It's now applied by default to the regular conditioning `y`, which seems to make more sense. Use the `key` parameter to restore the old behaviour.
The implementation might not be correct at all; I'm not 100% clear on the math as to where the noise is actually supposed to be added. The implementation might not be correct at all; I'm not 100% clear on the math as to where the noise is actually supposed to be added and I couldn't make it produce quite the same results as the A1111 node. The algorithm still seems to help with variety though.
and I couldn't make it produce quite the same results as the A1111 node. The algorithm still seems to help with variety though.