Eric Rollei
bf738dba3f
HunyuanInstructImageEdit: monkey-patch ResolutionGroup.get_target_size and image_processor.build_gen_image_info to bypass trained-bucket snapping; snap to /16 to satisfy VAE divisibility assert. Auto-bump generation_config.max_length and config.max_position_embeddings based on per-image token count (RoPE extrapolates beyond trained range). Restore originals + invalidate cached_rope in finally. Add trace logging. Remove duplicate 'auto' entry from resolution dropdown. hunyuan_shared.py: meta-safe device patch + accelerate-hook strip helpers.
41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
"""
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Chain upload for remaining v2 Instruct models.
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Runs each upload sequentially with automatic confirmation.
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Skips models that are already fully uploaded.
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"""
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import subprocess
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import sys
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import os
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SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
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UPLOAD_SCRIPT = os.path.join(SCRIPT_DIR, "upload_v2_to_hf.py")
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# Models to upload (instruct-nf4 is already uploading separately)
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MODELS = ["instruct-int8", "instruct-distil-nf4", "instruct-distil-int8"]
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def main():
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total = len(MODELS)
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for i, model in enumerate(MODELS, 1):
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print(f"\n{'='*60}")
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print(f" [{i}/{total}] Starting upload: {model}")
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print(f"{'='*60}\n")
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result = subprocess.run(
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[sys.executable, UPLOAD_SCRIPT, "--model", model],
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input="y\n",
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text=True,
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)
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if result.returncode != 0:
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print(f"\n*** FAILED: {model} (exit code {result.returncode}) ***")
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print(f"*** Continuing with next model... ***\n")
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else:
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print(f"\n*** DONE: {model} ***\n")
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print(f"\n{'='*60}")
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print(f" All {total} uploads complete!")
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print(f"{'='*60}")
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if __name__ == "__main__":
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main()
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