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Fix typo

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filipstrand 2024-08-12 22:13:25 +02:00
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@ -62,9 +62,9 @@ In this implementation, this initial latent is fully deterministically controlle
However, if we were to import a fixed instance of this latent array saved from the Diffusers implementation, then MFLUX will produce an identical image to the Diffusers implementation (assuming a fixed prompt and using the default parameter settings in the Diffusers setup).
The images-pairs below illustrate this equivalence.
In these both cases the Schnell model was run for 2 time steps,
the Diffusers implementation ran in CPU mode.
The images below illustrate this equivalence.
In all cases the Schnell model was run for 2 time steps.
The Diffusers implementation ran in CPU mode.
The precision for MFLUX can be set in the [Config](src/flux_1_schnell/config/config.py) class.
There is typically a noticeable but very small difference in the final image when switching between 16bit and 32bit precision.