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I would like to request the ability to pass additional configuration for pytorch framework in LLM bench when loading a pipeling.
While loading SD3 pipeling without text_encoder_3 and tokenizer_3, it is expected to pass these values as None while loading SD3 pipeline.
At the moment loading such a pipeline requires modifying This line like so: pipe = model_class.from_pretrained(model_path, text_encoder_3=None, tokenizer_3=None)
The text was updated successfully, but these errors were encountered:
anzr299
changed the title
Additional Config for PT Benchmarking in LLM Bench
[LLM Bench Additional Config for PT Benchmarking in LLM Bench
Dec 10, 2024
anzr299
changed the title
[LLM Bench Additional Config for PT Benchmarking in LLM Bench
[LLM Bench] Additional Config for PT Benchmarking in LLM Bench
Dec 10, 2024
I would like to request the ability to pass additional configuration for pytorch framework in LLM bench when loading a pipeling.
While loading SD3 pipeling without
text_encoder_3
andtokenizer_3
, it is expected to pass these values as None while loading SD3 pipeline.At the moment loading such a pipeline requires modifying This line like so:
pipe = model_class.from_pretrained(model_path, text_encoder_3=None, tokenizer_3=None)
The text was updated successfully, but these errors were encountered: