[bugfix]: fix kandinsky5 registry detectors and distilled repo name
The i2v detector matched any path containing 'i2v' without excluding 't2v',
misrouting T2V checkpoints stored under i2v-containing directories. The
variant detectors all require lite/pro tokens, so the model_index _class_name
fallback ('kandinsky5t2vpipeline') could never match and I2V-Lite-distilled
checkpoints had no detector at all; add base T2V/I2V fallback registrations
after the variants. Also fix the registered Lite distilled repo to the real
kandinskylab/Kandinsky-5.0-T2V-Lite-distilled16steps-5s-Diffusers (the old
name 404s) and correct the example comments.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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committed by
SolitaryThinker
co-authored by
Claude Fable 5
parent
532b09fb73
commit
2cfcb7b85f
@@ -4,10 +4,10 @@ OUTPUT_PATH = "video_samples_kandinsky5_t2v"
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def main():
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generator = VideoGenerator.from_pretrained(
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"kandinskylab/Kandinsky-5.0-T2V-Lite-sft-5s-Diffusers",
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"kandinskylab/Kandinsky-5.0-T2V-Lite-sft-5s-Diffusers",
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# "kandinskylab/Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers"
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# "kandinskylab/Kandinsky-5.0-T2V-Lite-Distilled-5s-Diffusers"
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# "kandinskylab/Kandinsky-5.0-T2V-Pro-Distilled-5s-Diffusers"
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# "kandinskylab/Kandinsky-5.0-T2V-Lite-distilled16steps-5s-Diffusers"
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# "kandinskylab/Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers"
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num_gpus=1,
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use_fsdp_inference=False,
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dit_cpu_offload=False,
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