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fix: random seed

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nick 2024-08-22 17:39:03 -07:00
parent 9fc0c2b4a2
commit edff5685f9
1 changed files with 24 additions and 21 deletions
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45
custom_routes.py
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@ -234,27 +234,30 @@ def apply_random_seed_to_workflow(workflow_api):
workflow_api (dict): The workflow API dictionary to modify.
"""
for key in workflow_api:
if 'inputs' in workflow_api[key] and 'seed' in workflow_api[key]['inputs']:
if isinstance(workflow_api[key]['inputs']['seed'], list):
continue
if workflow_api[key]['class_type'] == "PromptExpansion":
workflow_api[key]['inputs']['seed'] = randomSeed(8)
logger.info(f"Applied random seed {workflow_api[key]['inputs']['seed']} to PromptExpansion")
continue
if workflow_api[key]['class_type'] == "RandomNoise":
workflow_api[key]['inputs']['noise_seed'] = randomSeed()
logger.info(f"Applied random noise_seed {workflow_api[key]['inputs']['noise_seed']} to RandomNoise")
continue
if workflow_api[key]['class_type'] == "KSamplerAdvanced":
workflow_api[key]['inputs']['noise_seed'] = randomSeed()
logger.info(f"Applied random noise_seed {workflow_api[key]['inputs']['noise_seed']} to KSamplerAdvanced")
continue
if workflow_api[key]['class_type'] == "SamplerCustom":
workflow_api[key]['inputs']['noise_seed'] = randomSeed()
logger.info(f"Applied random noise_seed {workflow_api[key]['inputs']['noise_seed']} to SamplerCustom")
continue
workflow_api[key]['inputs']['seed'] = randomSeed()
logger.info(f"Applied random seed {workflow_api[key]['inputs']['seed']} to {workflow_api[key]['class_type']}")
if 'inputs' in workflow_api[key]:
if 'seed' in workflow_api[key]['inputs']:
if isinstance(workflow_api[key]['inputs']['seed'], list):
continue
if workflow_api[key]['class_type'] == "PromptExpansion":
workflow_api[key]['inputs']['seed'] = randomSeed(8)
logger.info(f"Applied random seed {workflow_api[key]['inputs']['seed']} to PromptExpansion")
continue
workflow_api[key]['inputs']['seed'] = randomSeed()
logger.info(f"Applied random seed {workflow_api[key]['inputs']['seed']} to {workflow_api[key]['class_type']}")
if 'noise_seed' in workflow_api[key]['inputs']:
if workflow_api[key]['class_type'] == "RandomNoise":
workflow_api[key]['inputs']['noise_seed'] = randomSeed()
logger.info(f"Applied random noise_seed {workflow_api[key]['inputs']['noise_seed']} to RandomNoise")
continue
if workflow_api[key]['class_type'] == "KSamplerAdvanced":
workflow_api[key]['inputs']['noise_seed'] = randomSeed()
logger.info(f"Applied random noise_seed {workflow_api[key]['inputs']['noise_seed']} to KSamplerAdvanced")
continue
if workflow_api[key]['class_type'] == "SamplerCustom":
workflow_api[key]['inputs']['noise_seed'] = randomSeed()
logger.info(f"Applied random noise_seed {workflow_api[key]['inputs']['noise_seed']} to SamplerCustom")
continue
def apply_inputs_to_workflow(workflow_api: Any, inputs: Any, sid: str = None):
# Loop through each of the inputs and replace them