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Merge pull request #2939 from AI-Casanova/composable-lora

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Composable LoRA
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Vladimir Mandic
2024-03-06 13:03:24 -05:00
committed by GitHub
parent ae7b03ac74 8aef6e6052
commit a8e11146be
3 changed files with 76 additions and 13 deletions
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modules/processing_diffusers.py
+3 -1
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@@ -8,7 +8,7 @@ import numpy as np
import torch
import torchvision.transforms.functional as TF
import diffusers
from modules import shared, devices, processing, sd_samplers, sd_models, images, errors, prompt_parser_diffusers, sd_hijack_hypertile, processing_correction, processing_vae, sd_models_compile
from modules import shared, devices, processing, sd_samplers, sd_models, images, errors, prompt_parser_diffusers, sd_hijack_hypertile, processing_correction, processing_vae, sd_models_compile, extra_networks
from modules.processing_helpers import resize_init_images, resize_hires, fix_prompts, calculate_base_steps, calculate_hires_steps, calculate_refiner_steps
from modules.onnx_impl import preprocess_pipeline as preprocess_onnx_pipeline, check_parameters_changed as olive_check_parameters_changed
@@ -73,6 +73,8 @@ def process_diffusers(p: processing.StableDiffusionProcessing):
if shared.state.interrupted or shared.state.skipped:
raise AssertionError('Interrupted...')
time.sleep(0.1)
if hasattr(p, "extra_network_data"):
extra_networks.activate(p, p.extra_network_data, step=step)
if latents is None:
return kwargs
elif shared.opts.nan_skip: