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Merge pull request #5179 from kaneda2004/master
Update SD Upscaler to include user selectable Scale Factor
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commit
854bb0b56c
@ -17,13 +17,14 @@ class Script(scripts.Script):
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return is_img2img
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def ui(self, is_img2img):
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info = gr.HTML("<p style=\"margin-bottom:0.75em\">Will upscale the image to twice the dimensions; use width and height sliders to set tile size</p>")
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info = gr.HTML("<p style=\"margin-bottom:0.75em\">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>")
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overlap = gr.Slider(minimum=0, maximum=256, step=16, label='Tile overlap', value=64)
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scale_factor = gr.Slider(minimum=1, maximum=4, step=1, label='Scale Factor', value=2)
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upscaler_index = gr.Radio(label='Upscaler', choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
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return [info, overlap, upscaler_index]
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return [info, overlap, upscaler_index, scale_factor]
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def run(self, p, _, overlap, upscaler_index):
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def run(self, p, _, overlap, upscaler_index, scale_factor):
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processing.fix_seed(p)
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upscaler = shared.sd_upscalers[upscaler_index]
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@ -34,9 +35,9 @@ class Script(scripts.Script):
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seed = p.seed
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init_img = p.init_images[0]
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if(upscaler.name != "None"):
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img = upscaler.scaler.upscale(init_img, 2, upscaler.data_path)
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if (upscaler.name != "None"):
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img = upscaler.scaler.upscale(init_img, scale_factor, upscaler.data_path)
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else:
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img = init_img
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@ -69,7 +70,7 @@ class Script(scripts.Script):
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work_results = []
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for i in range(batch_count):
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p.batch_size = batch_size
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p.init_images = work[i*batch_size:(i+1)*batch_size]
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p.init_images = work[i * batch_size:(i + 1) * batch_size]
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state.job = f"Batch {i + 1 + n * batch_count} out of {state.job_count}"
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processed = processing.process_images(p)
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