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fix: reduce opt_lr step to 0.001 to allow finer lr control in DITTO

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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Ethanfel
2026-04-09 18:40:21 +02:00
parent 445da1e69b
commit 14fabf01f9
1 changed files with 2 additions and 2 deletions
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nodes/selva_ditto_optimizer.py
+2 -2
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@@ -125,9 +125,9 @@ class SelvaDittoOptimizer:
"each step requires ~2 DiT forward passes.", "each step requires ~2 DiT forward passes.",
}), }),
"opt_lr": ("FLOAT", { "opt_lr": ("FLOAT", {
"default": 0.1, "min": 0.001, "max": 2.0, "step": 0.01, "default": 0.02, "min": 0.001, "max": 2.0, "step": 0.001,
"tooltip": "Adam learning rate for x_0 optimization. " "tooltip": "Adam learning rate for x_0 optimization. "
"0.1 is the DITTO paper default.", "0.02–0.05 is recommended; 0.1 (paper default) causes oscillation.",
}), }),
"n_ode_steps": ("INT", { "n_ode_steps": ("INT", {
"default": 10, "min": 5, "max": 50, "default": 10, "min": 5, "max": 50,