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feat: use LoRA weight 0.8, sampler dpmpp_sde_gpu and scheduler_name karras 

suggested in https://github.com/lllyasviel/Fooocus/discussions/2813#discussioncomment-9245251
results see https://github.com/lllyasviel/Fooocus/discussions/2813#discussioncomment-9275251
This commit is contained in:
Manuel Schmid 2024-04-30 15:06:33 +02:00
parent fa74a0c7fe
commit 27df5df20b
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1 changed files with 3 additions and 3 deletions
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6
modules/async_worker.py
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@ -266,14 +266,14 @@ def worker():
elif performance_selection == Performance.HYPER_SD:
print('Enter Hyper-SD mode.')
progressbar(async_task, 1, 'Downloading Hyper-SD components ...')
loras += [(modules.config.downloading_sdxl_hyper_sd_lora(), 1.0)]
loras += [(modules.config.downloading_sdxl_hyper_sd_lora(), 0.8)]
if refiner_model_name != 'None':
print(f'Refiner disabled in Hyper-SD mode.')
refiner_model_name = 'None'
sampler_name = 'ddim'
scheduler_name = 'sgm_uniform'
sampler_name = 'dpmpp_sde_gpu'
scheduler_name = 'karras'
sharpness = 0.0
guidance_scale = 1.0
adaptive_cfg = 1.0