mirror of
https://github.com/vladmandic/automatic
synced 2026-08-26 15:16:01 +02:00
Vladimir Mandic
28 lines
1.2 KiB
Python
28 lines
1.2 KiB
Python
import gradio as gr
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from modules import scripts, processing, shared, ipadapter
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class Script(scripts.Script):
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def title(self):
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return 'IP Adapter'
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def show(self, is_img2img):
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return scripts.AlwaysVisible if shared.backend == shared.Backend.DIFFUSERS else False
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def ui(self, _is_img2img):
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with gr.Accordion('IP Adapter', open=False, elem_id='ipadapter'):
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with gr.Row():
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adapter = gr.Dropdown(label='Adapter', choices=list(ipadapter.ADAPTERS), value='none')
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scale = gr.Slider(label='Scale', minimum=0.0, maximum=1.0, step=0.01, value=0.5)
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with gr.Row():
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image = gr.Image(image_mode='RGB', label='Image', source='upload', type='pil', width=512)
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return [adapter, scale, image]
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def process(self, p: processing.StableDiffusionProcessing, adapter_name, scale, image): # pylint: disable=arguments-differ
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if shared.backend != shared.Backend.DIFFUSERS:
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return
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p.ip_adapter_name = adapter_name
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p.ip_adapter_scale = scale
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p.ip_adapter_image = image
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# apply(shared.sd_model, p, adapter_name, scale, image) # called directly from processing.process_images_inner
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