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https://github.com/vladmandic/automatic
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add additional ip-adapters
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@@ -8,6 +8,7 @@ TODO:
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- SD/SDXL autodetect
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"""
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import time
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import gradio as gr
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from modules import scripts, processing, shared, devices
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@@ -18,11 +19,11 @@ ADAPTERS = [
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'none',
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'models/ip-adapter_sd15',
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'models/ip-adapter_sd15_light',
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# 'models/ip-adapter_sd15_vit-G', # RuntimeError: mat1 and mat2 shapes cannot be multiplied (2x1024 and 1280x3072)
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# 'models/ip-adapter-plus_sd15', # KeyError: 'proj.weight'
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# 'models/ip-adapter-plus-face_sd15', # KeyError: 'proj.weight'
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'models/ip-adapter-plus_sd15',
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'models/ip-adapter-plus-face_sd15',
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# 'models/ip-adapter-full-face_sd15', # KeyError: 'proj.weight'
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'sdxl_models/ip-adapter_sdxl',
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# 'models/ip-adapter_sd15_vit-G', # RuntimeError: mat1 and mat2 shapes cannot be multiplied (2x1024 and 1280x3072)
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# 'sdxl_models/ip-adapter_sdxl_vit-h',
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# 'sdxl_models/ip-adapter-plus_sdxl_vit-h',
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# 'sdxl_models/ip-adapter-plus-face_sdxl_vit-h',
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@@ -89,13 +90,17 @@ class Script(scripts.Script):
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# main code
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subfolder, model = adapter.split('/')
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if model != loaded or getattr(shared.sd_model.unet.config, 'encoder_hid_dim_type', None) is None:
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t0 = time.time()
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if loaded is not None:
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shared.log.debug('IP adapter: reset attention processor')
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shared.sd_model.unet.set_default_attn_processor()
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loaded = None
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shared.log.info(f'IP adapter load: adapter="{model}" scale={scale} image={image}')
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else:
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shared.log.debug('IP adapter: load attention processor')
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shared.sd_model.image_encoder = image_encoder
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shared.sd_model.load_ip_adapter("h94/IP-Adapter", subfolder=subfolder, weight_name=f'{model}.safetensors')
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t1 = time.time()
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shared.log.info(f'IP adapter load: adapter="{model}" scale={scale} image={image} time={t1-t0:.2f}')
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loaded = model
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else:
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shared.log.debug(f'IP adapter cache: adapter="{model}" scale={scale} image={image}')
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