Files
automatic/modules/model_auraflow.py
T
Vladimir Mandic 9e6fb5249c add auraflow
2024-07-12 08:43:30 -04:00

20 lines
472 B
Python

import torch
import diffusers
repo_id = 'fal/AuraFlow'
def load_auraflow(_checkpoint_info, diffusers_load_config={}):
from modules import shared, devices
if 'torch_dtype' not in diffusers_load_config:
diffusers_load_config['torch_dtype'] = torch.float16
pipe = diffusers.AuraFlowPipeline.from_pretrained(
repo_id,
cache_dir = shared.opts.diffusers_dir,
**diffusers_load_config,
)
devices.torch_gc()
return pipe