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csgoogle
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Apr 13, 2026
| sigmas = 1.0 - alphas | ||
| sigmas = jnp.flip(self.config.flow_shift * sigmas / (1 + (self.config.flow_shift - 1) * sigmas))[:-1].copy() | ||
| timesteps = (sigmas * self.config.num_train_timesteps).copy().astype(jnp.int64) | ||
| sigmas = jnp.linspace(1.0, 1.0 / self.config.num_train_timesteps, num_inference_steps + 1)[:-1] |
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converging it with hf implementation, lmk if I need to revert it
Perseus14
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Apr 13, 2026
| sigmas = self.config.flow_shift * sigmas / (1 + (self.config.flow_shift - 1) * sigmas) | ||
| eps = 1e-6 | ||
| sigmas = sigmas.at[0].set(jnp.where(jnp.abs(sigmas[0] - 1.0) < eps, sigmas[0] - eps, sigmas[0])) | ||
| timesteps = (sigmas * self.config.num_train_timesteps).copy().astype(jnp.int32) |
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Why move from jnp.int64 to jnp.int32?
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timestamps are sufficient to be in int32, so casted to int32 only
Perseus14
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Apr 13, 2026
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Could we move the assets to a public GCS path or use an existing hf dataset link?
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Wan Animate Pipeline
This CL publishes add the Wan Animate pipepline.
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