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* Upload files for Chroma Implementation * Remove trailing whitespace * trim more trailing whitespace..oops * remove unused imports * Add supported_inference_dtypes * Set min_length to 0 and remove attention_mask=True * Set min_length to 1 * get_mdulations added from blepping and minor changes * Add lora conversion if statement in lora.py * Update supported_models.py * update model_base.py * add uptream commits * set modelType.FLOW, will cause beta scheduler to work properly * Adjust memory usage factor and remove unnecessary code * fix mistake * reduce code duplication * remove unused imports * refactor for upstream sync * sync chroma-support with upstream via syncbranch patch * Update sd.py * Add Chroma as option for the OptimalStepsScheduler node