SolitaryThinker
ae6d8085de
- v2_basic_ltx2_3_distilled.py: LTX-2.3-Distilled routes to the single-stage base card (no spatial_upsampler) via the arch dispatch; pass few steps for the distilled schedule. - V2_PORTING_STATUS.md: A14B moved to Working (CPU expert offload, 60GB peak); LTX-2 base + 2.3 added (code-complete, GPU re-verify pending); Environment-status note on the mid-session aarch64->x86 host reschedule that blocks GPU re-verify.
28 lines
1.4 KiB
Python
28 lines
1.4 KiB
Python
"""v2 port of basic_ltx2_3_distilled.py — LTX-2.3 Distilled (single-stage) through the v2 VideoGenerator.
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LTX-2.3-Distilled is single-stage (no spatial upsampler, unlike LTX-2.0 distilled's two-stage), so the
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architecture-driven dispatch (v2/video_generator.py:_select_builders, via has_spatial_upsampler=False)
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routes it to the SAME single-stage card as LTX-2 base (build_ltx2_base_card). Being distilled, it wants
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FEW steps — pass a small num_inference_steps for the few-step schedule.
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NOTE: the v2 single-stage loop currently builds a request-driven *linspace* flow-match schedule
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(base_flow_sigmas); the distilled-tuned few-step schedule is a follow-up. GPU re-verify of this example
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is pending the env (the box was rescheduled aarch64->x86 mid-session — see V2_PORTING_STATUS.md).
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"""
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from v2 import VideoGenerator
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PROMPT = "a hummingbird hovering beside a red flower, wings blurred, macro, cinematic, highly detailed"
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def main() -> None:
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generator = VideoGenerator.from_pretrained("FastVideo/LTX-2.3-Distilled-Diffusers", num_gpus=1)
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video = generator.generate_video(
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prompt=PROMPT, output_path="v2_video_samples_ltx2_3", output_video_name="ltx2_3_hummingbird",
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save_video=True, num_frames=9, height=512, width=768, num_inference_steps=8)
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print(f"Output: {video.video_path}")
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generator.shutdown()
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if __name__ == "__main__":
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main()
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