Files
automatic/modules/shared_defaults.py
T
Vladimir Mandic 62bedf8834 update attention handlers and settings
Signed-off-by: Vladimir Mandic <mandic00@live.com>
2026-08-29 13:05:20 +02:00

70 lines
3.0 KiB
Python

import os
from modules.logger import log
from modules import devices
def get_default_modes(cmd_opts, mem_stat):
default_offload_mode = "none"
default_diffusers_offload_min_gpu_memory = 0.2
default_diffusers_offload_max_gpu_memory = 0.6
default_diffusers_offload_always = ''
default_diffusers_offload_never = ''
gpu_memory = round(mem_stat['gpu']['total'] if "gpu" in mem_stat else 0)
if not (cmd_opts.lowvram or cmd_opts.medvram):
if "gpu" in mem_stat and gpu_memory != 0:
if gpu_memory <= 4:
cmd_opts.lowvram = True
default_offload_mode = "balanced"
default_diffusers_offload_min_gpu_memory = 0
log.info(f"Device detect: memory={gpu_memory:.1f} default=balanced optimization=lowvram")
elif gpu_memory <= 12:
cmd_opts.medvram = True # VAE Tiling and other stuff
default_offload_mode = "balanced"
default_diffusers_offload_min_gpu_memory = 0
default_diffusers_offload_always = ''
log.info(f"Device detect: memory={gpu_memory:.1f} default=balanced optimization=medvram")
elif gpu_memory >= 22:
default_offload_mode = "balanced"
default_diffusers_offload_max_gpu_memory = 0.8
default_diffusers_offload_always = ''
default_diffusers_offload_never = ', '.join(['CLIPTextModel', 'CLIPTextModelWithProjection', 'AutoencoderKL'])
log.info(f"Device detect: memory={gpu_memory:.1f} default=balanced optimization=highvram")
else:
default_offload_mode = "balanced"
log.info(f"Device detect: memory={gpu_memory:.1f} default=balanced")
elif cmd_opts.medvram:
default_offload_mode = "balanced"
default_diffusers_offload_min_gpu_memory = 0
elif cmd_opts.lowvram:
default_offload_mode = "sequential"
default_diffusers_offload_min_gpu_memory = 0
default_cross_attention = "Scaled-Dot-Product"
default_sdp_choices = ['Flash', 'Memory', 'Math']
default_sdp_options = ['Flash', 'Memory', 'Math']
if devices.backend == "zluda":
default_sdp_options = ['Math']
default_cross_attention = ['Dynamic attention']
elif devices.backend == "rocm":
agent = devices.get_hip_agent()
if agent.gfx_version < 0x1100:
default_cross_attention = ['Dynamic attention'] # only RDNA2 and older GPUs needs this
elif devices.backend in {"cpu", "mps"}:
default_cross_attention = ['Dynamic attention']
if devices.get_optimal_device_name() != "cpu":
os.environ.setdefault('SDNQ_USE_OPENVINO_MM', '0') # TODO sdnq openvino: this is too late as sdnq already initialized it
return (
default_offload_mode,
default_diffusers_offload_min_gpu_memory,
default_diffusers_offload_max_gpu_memory,
default_cross_attention,
default_sdp_options,
default_sdp_choices,
default_diffusers_offload_always,
default_diffusers_offload_never,
)