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try fix colab (#377)

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lllyasviel 2023-09-14 21:37:29 -07:00 committed by GitHub
parent bcee7fd273
commit b5b4fd27f1
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2 changed files with 17 additions and 6 deletions
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2
fooocus_version.py
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@ -1 +1 @@
version = '2.0.12'
version = '2.0.14'

21
modules/default_pipeline.py
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@ -2,6 +2,7 @@ import modules.core as core
import os
import torch
import modules.path
import comfy.model_management as model_management
from comfy.model_base import SDXL, SDXLRefiner
from modules.patch import cfg_patched
@ -132,6 +133,8 @@ def clip_encode(sd, texts, pool_top_k=1):
if len(texts) == 0:
return None
model_management.soft_empty_cache()
clip = sd.clip
cond_list = []
pooled_acc = 0
@ -162,16 +165,24 @@ def clear_all_caches():
@torch.no_grad()
def process_diffusion(positive_cond, negative_cond, steps, switch, width, height, image_seed, callback):
if xl_base is not None:
xl_base.unet.model_options['sampler_cfg_function'] = cfg_patched
def patch_all_models():
assert xl_base is not None
assert xl_base_patched is not None
if xl_base_patched is not None:
xl_base_patched.unet.model_options['sampler_cfg_function'] = cfg_patched
xl_base.unet.model_options['sampler_cfg_function'] = cfg_patched
xl_base_patched.unet.model_options['sampler_cfg_function'] = cfg_patched
if xl_refiner is not None:
xl_refiner.unet.model_options['sampler_cfg_function'] = cfg_patched
return
@torch.no_grad()
def process_diffusion(positive_cond, negative_cond, steps, switch, width, height, image_seed, callback):
patch_all_models()
model_management.soft_empty_cache()
empty_latent = core.generate_empty_latent(width=width, height=height, batch_size=1)
if xl_refiner is not None: