# Copyright 2026 Bytedance Ltd. and/or its affiliates
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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from typing import Any, Optional
from pydantic import BaseModel, ConfigDict
from verl.workers.rollout.replica import RolloutReplicaRegistry
[docs]
class DiffusionOutput(BaseModel):
model_config = ConfigDict(arbitrary_types_allowed=True)
diffusion_output: Any
"""generated image tensor (CHW format) / video tensor (TCHW format)"""
log_probs: Optional[Any] = None
"""logprobs of generated image/video"""
stop_reason: Optional[str] = None
"""stop reason: 'completed', 'aborted', or None for unknown"""
num_preempted: Optional[int] = None
"""number of preempted times for metric calculation"""
extra_fields: dict[str, Any] = {}
"""Extra fields for dynamic addition."""
def _load_vllm_omni():
from verl_omni.workers.rollout.vllm_rollout.vllm_omni_async_server import vLLMOmniReplica
return vLLMOmniReplica
RolloutReplicaRegistry.register("vllm_omni", _load_vllm_omni)