Jared WenandHongsheng Liu
6e35bfbbae
Signed-off-by: JaredforReal <w13431838023@gmail.com> Signed-off-by: Hongsheng Liu <liuhongsheng4@huawei.com> Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
44 lines
1.4 KiB
YAML
44 lines
1.4 KiB
YAML
# GLM-Image deploy: AR (stage 0) + Diffusion (stage 1).
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# Topology declared in vllm_omni/model_executor/models/glm_image/pipeline.py.
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#
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# Fields omitted from a stage fall back to StageDeployConfig dataclass
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# defaults (see vllm_omni/config/stage_config.py). Pipeline-wide settings
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# (trust_remote_code, distributed_executor_backend, etc.) use DeployConfig
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# defaults unless overridden here.
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async_chunk: false
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stages:
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# Stage 0: AR Model (GlmImageForConditionalGeneration)
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# Generates prior_token_ids for conditioning the diffusion process.
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# max_tokens is set to the theoretical maximum (2048x2048 t2i ≈ 4353
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# tokens). The AR model stops naturally at EOS (16385) well before
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# this ceiling at lower resolutions. Do NOT override max_tokens per
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# request — the actual resolution is communicated via target_h/w.
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- stage_id: 0
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max_num_seqs: 1
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gpu_memory_utilization: 0.6
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enforce_eager: false
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max_num_batched_tokens: 32768
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devices: "0"
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default_sampling_params:
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temperature: 0.9
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top_p: 0.75
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top_k: 16512
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stop_token_ids: [16385]
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max_tokens: 4353
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seed: 42
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detokenize: false
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# Stage 1: Diffusion (DiT + VAE)
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# Receives prior_token_ids from AR, performs denoising + VAE decode.
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- stage_id: 1
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max_num_seqs: 1
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enforce_eager: true
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devices: "1"
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default_sampling_params:
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seed: 42
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num_inference_steps: 50
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guidance_scale: 1.5
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height: 1024
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width: 1024
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