Single-page summary of AnyFlow's two-stage recipe:
- Algorithm intuition (u_θ(x_t, t, r) → any-step Euler)
- Stage 1 pretrain: central-difference target + (t, r) sampling
- Stage 2 on-policy DMD: multi-step rollout with grad-step broadcast
- Launch commands for both YAMLs
- Note on loading nvidia/AnyFlow-Wan2.1-T2V-* checkpoints (handled by
param_names_mapping, no separate adapter)
- Note on fuse_guidance_scale parameterization
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