Loay RashidandAryan Kumar
0d05b09c57
Co-authored-by: Aryan Kumar <156166681+aryan5v@users.noreply.github.com>
74 lines
3.0 KiB
Python
74 lines
3.0 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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"""Qwen-Image-2.1 generation, editing, references and transparent PNG output."""
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import argparse
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from fastvideo import VideoGenerator
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from fastvideo.api import (
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EngineConfig,
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GenerationRequest,
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GeneratorConfig,
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InputConfig,
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OffloadConfig,
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OutputConfig,
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ParallelismConfig,
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PipelineSelection,
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SamplingConfig,
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)
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def main() -> None:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--model-path", default="Qwen/Qwen-Image-2.1")
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parser.add_argument("--revision")
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parser.add_argument("--prompt", default="A red ceramic teapot, isolated on a transparent background.")
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parser.add_argument("--reference", action="append", default=[], help="Ordered reference image; repeat up to ten times")
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parser.add_argument("--negative-prompt", default=None)
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parser.add_argument("--true-cfg-scale", type=float, default=1.0)
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parser.add_argument("--height", type=int, default=1024)
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parser.add_argument("--width", type=int, default=1024)
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parser.add_argument("--reference-resolution", type=int, default=1024)
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parser.add_argument("--steps", type=int, default=40)
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parser.add_argument("--seed", type=int, default=42)
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parser.add_argument("--use-kv-cache", action=argparse.BooleanOptionalAction, default=True)
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parser.add_argument("--output", default="outputs/qwen_image21/image.png")
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args = parser.parse_args()
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if len(args.reference) > 10:
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parser.error("At most ten ordered reference images are supported")
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workload = "i2i" if args.reference else "t2i"
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generator = VideoGenerator.from_config(
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GeneratorConfig(
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model_path=args.model_path,
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revision=args.revision,
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engine=EngineConfig(
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num_gpus=1,
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parallelism=ParallelismConfig(tp_size=1, sp_size=1),
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offload=OffloadConfig(dit=True, dit_layerwise=True, text_encoder=True, vae=True,
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lazy_module_load=True),
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),
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pipeline=PipelineSelection(
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workload_type=workload,
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experimental={
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"reference_resolution": args.reference_resolution,
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"use_kv_cache": args.use_kv_cache,
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},
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),
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))
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try:
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generator.generate(
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GenerationRequest(
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prompt=args.prompt,
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negative_prompt=args.negative_prompt,
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inputs=InputConfig(references=args.reference or None),
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sampling=SamplingConfig(height=args.height, width=args.width, num_frames=1, fps=1,
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num_inference_steps=args.steps, guidance_scale=1.0,
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true_cfg_scale=args.true_cfg_scale, seed=args.seed),
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output=OutputConfig(output_path=args.output, save_video=True, return_frames=False),
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))
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finally:
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generator.shutdown()
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if __name__ == "__main__":
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main()
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