Flow Matching — anime faces 64x64
Rectified/conditional flow matching. Predicts velocity v = x1 - x0 along the
straight path xt = (1-t)*x0 + t*x1, where x0 is noise and x1 is data.
- UNet: ch=64, mults=(1,2,2,4), attn @16 — ~16.3M params
- Trained: 30 epochs, final FM loss 0.2059
- Sampling: Euler ODE,
x += v(x,t)*dt, ~10 steps is enough - Checkpoint contains
net,ema,opt,scaler,losses— resumable.
Use the ema weights for sampling.
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