FLUX Monte Carlo
Note: This model has undergone deterministic bias correction + stochastic regularization.
Even this took around 2GW of power.
To train a FLUX at FP32 it would take a supercomputer and power-plant.This model has 1 Trillion Iterations to restore FP32 precision.
Do to the complexity of the tensor shape this was done at 10,000 steps per element, with noise guidance based on the tensor.
Description
FAQ
Details
Downloads
158
Platform
CivitAI
Platform Status
Available
Created
4/20/2025
Updated
4/28/2026
Deleted
-
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.