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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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Merge branch 'master' into master
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commit
2162be514a
@ -67,7 +67,7 @@ class UpscalerBSRGAN(modules.upscaler.Upscaler):
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else:
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filename = path
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if not os.path.exists(filename) or filename is None:
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print("Unable to load %s from %s" % (self.model_path, filename))
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print(f"BSRGAN: Unable to load model from {filename}", file=sys.stderr)
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return None
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model = RRDBNet(in_nc=3, out_nc=3, nf=64, nb=23, gc=32, sf=2) # define network
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model.load_state_dict(torch.load(filename), strict=True)
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@ -213,17 +213,19 @@ def resize_image(resize_mode, im, width, height):
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if opts.upscaler_for_img2img is None or opts.upscaler_for_img2img == "None" or im.mode == 'L':
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return im.resize((w, h), resample=LANCZOS)
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upscalers = [x for x in shared.sd_upscalers if x.name == opts.upscaler_for_img2img]
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assert len(upscalers) > 0, f"could not find upscaler named {opts.upscaler_for_img2img}"
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upscaler = upscalers[0]
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scale = max(w / im.width, h / im.height)
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upscaled = upscaler.scaler.upscale(im, scale, upscaler.data_path)
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if upscaled.width != w or upscaled.height != h:
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upscaled = im.resize((w, h), resample=LANCZOS)
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if scale > 1.0:
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upscalers = [x for x in shared.sd_upscalers if x.name == opts.upscaler_for_img2img]
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assert len(upscalers) > 0, f"could not find upscaler named {opts.upscaler_for_img2img}"
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return upscaled
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upscaler = upscalers[0]
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im = upscaler.scaler.upscale(im, scale, upscaler.data_path)
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if im.width != w or im.height != h:
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im = im.resize((w, h), resample=LANCZOS)
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return im
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if resize_mode == 0:
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res = resize(im, width, height)
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@ -232,7 +232,12 @@ class StableDiffusionModelHijack:
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for fn in os.listdir(dirname):
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try:
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process_file(os.path.join(dirname, fn), fn)
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fullfn = os.path.join(dirname, fn)
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if os.stat(fullfn).st_size == 0:
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continue
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process_file(fullfn, fn)
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except Exception:
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print(f"Error loading emedding {fn}:", file=sys.stderr)
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print(traceback.format_exc(), file=sys.stderr)
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@ -599,7 +599,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo, run_modelmerger):
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mask_mode = gr.Radio(label="Mask mode", show_label=False, choices=["Draw mask", "Upload mask"], type="index", value="Draw mask", elem_id="mask_mode")
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inpainting_mask_invert = gr.Radio(label='Masking mode', show_label=False, choices=['Inpaint masked', 'Inpaint not masked'], value='Inpaint masked', type="index")
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inpainting_fill = gr.Radio(label='Masked content', choices=['fill', 'original', 'latent noise', 'latent nothing'], value='fill', type="index")
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inpainting_fill = gr.Radio(label='Masked content', choices=['fill', 'original', 'latent noise', 'latent nothing'], value='original', type="index")
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with gr.Row():
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inpaint_full_res = gr.Checkbox(label='Inpaint at full resolution', value=False)
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