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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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ESRGAN support
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@@ -9,7 +9,7 @@ from modules.ui import plaintext_to_html
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import modules.images as images
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import modules.scripts
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def img2img(prompt: str, init_img, init_img_with_mask, steps: int, sampler_index: int, mask_blur: int, inpainting_fill: int, use_GFPGAN: bool, mode: int, n_iter: int, batch_size: int, cfg_scale: float, denoising_strength: float, seed: int, height: int, width: int, resize_mode: int, upscaler_name: str, upscale_overlap: int, inpaint_full_res: bool, inpainting_mask_invert: int, *args):
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def img2img(prompt: str, init_img, init_img_with_mask, steps: int, sampler_index: int, mask_blur: int, inpainting_fill: int, use_GFPGAN: bool, mode: int, n_iter: int, batch_size: int, cfg_scale: float, denoising_strength: float, seed: int, height: int, width: int, resize_mode: int, upscaler_index: str, upscale_overlap: int, inpaint_full_res: bool, inpainting_mask_invert: int, *args):
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is_inpaint = mode == 1
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is_loopback = mode == 2
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is_upscale = mode == 3
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@@ -81,8 +81,8 @@ def img2img(prompt: str, init_img, init_img_with_mask, steps: int, sampler_index
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initial_seed = None
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initial_info = None
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upscaler = shared.sd_upscalers.get(upscaler_name, next(iter(shared.sd_upscalers.values())))
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img = upscaler(init_img)
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upscaler = shared.sd_upscalers[upscaler_index]
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img = upscaler.upscale(init_img, init_img.width * 2, init_img.height * 2)
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processing.torch_gc()
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