lllyasviel/stable-diffusion-webui-forge
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sampler

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lllyasviel
2024-01-27 22:11:14 -08:00
parent e8175e9a90
commit d51e81483b
5 changed files with 37 additions and 28 deletions
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12
modules/sd_samplers_common.py
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@@ -5,7 +5,7 @@ import torch
from PIL import Image
from modules import devices, images, sd_vae_approx, sd_samplers, sd_vae_taesd, shared, sd_models
from modules.shared import opts, state
from ldm_patched.modules import model_management
from modules_forge.forge_sampler import sampling_prepare, sampling_cleanup
import k_diffusion.sampling
@@ -177,20 +177,16 @@ def apply_refiner(cfg_denoiser, x):
cfg_denoiser.p.extra_generation_params['Refiner'] = refiner_checkpoint_info.short_title
cfg_denoiser.p.extra_generation_params['Refiner switch at'] = refiner_switch_at
sampling_cleanup(sd_models.model_data.get_sd_model().forge_objects.unet)
with sd_models.SkipWritingToConfig():
sd_models.reload_model_weights(info=refiner_checkpoint_info)
refiner = sd_models.model_data.get_sd_model()
devices.torch_gc()
cfg_denoiser.p.setup_conds()
cfg_denoiser.update_inner_model()
inference_memory = refiner.current_controlnet_required_memory
unet_patcher = refiner.forge_objects.unet
model_management.load_models_gpu(
[unet_patcher],
unet_patcher.memory_required([x.shape[0]] * 2 + list(x.shape[1:])) + inference_memory)
sampling_prepare(sd_models.model_data.get_sd_model().forge_objects.unet, x=x)
return True