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Does what I described above.
- Sculptor Intensity: How strong the effect will be. If the direction is not reversed I would say that up to 3 you will keep the overall meaning of your prompt. If reversed then don't go above 1~2.5 or face (enjoy?) randomness.
- Sculptor reversed:
- off: goes towards the nearest vectors. This will make your generated images different in a generally good way. It can also reinforce the meaning of some words or make the images more colorful. Recommended intensity is above 1. **This direction is more interesting if you aim towards artistic creations.**
- on: goes away from these nearest vectors. This might make the images sharper somehow or more precise with a low intensity but tends to have a more random effect in general. Recommended intensity is 1 and below. **This direction is more interesting if you aim towards realistic creations.**
- Token normalization: reworks the magnitude of each vectors. I recommand either "none" which leaves things by default or "mean" so to set every token's importance to their overall mean value. "set at 1" will set them all at 1 and I have no idea if this is a good idea. "mean of all tokens" will take the mean value of EVERY vectors within the pre-cond weights and is probably a bad idea but also why not.
- **Sculptor Intensity**: How strong the effect will be. If the direction is not reversed I would say that up to 3 you will keep the overall meaning of your prompt. If reversed then don't go above 1~2.5 or face (enjoy?) randomness.
- **Sculptor reversed**:
- **off**: goes towards the nearest vectors. This will make your generated images different in a generally good way. It can also reinforce the meaning of some words or make the images more colorful. Recommended intensity is above 1. **This direction is more interesting if you aim towards artistic creations.**
- **on**: goes away from these nearest vectors. This might make the images sharper somehow or more precise with a low intensity but tends to have a more random effect in general. Recommended intensity is 1 and below. **This direction is more interesting if you aim towards realistic creations.**
- **Token normalization**: reworks the magnitude of each vectors. I recommand either "none" which leaves things by default or "mean" so to set every token's importance to their overall mean value. "set at 1" will set them all at 1 and I have no idea if this is a good idea. "mean of all tokens" will take the mean value of EVERY vectors within the pre-cond weights and is probably a bad idea but also why not.
If the intensity is set at 0 the token's normalization is still into effect. Setting it at 0 and selecting "none" will return a default Comfy conditioning.
## Conditioning (Slerp):