use comfy progress bar
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fdf57325f4
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@ -516,7 +516,7 @@ class VAE:
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def decode_tiled_(self, samples, tile_x=64, tile_y=64, overlap = 16):
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steps = samples.shape[0] * utils.get_tiled_scale_steps(samples.shape[3], samples.shape[2], tile_x, tile_y, overlap)
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pbar = tqdm(total=steps)
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pbar = utils.ProgressBar(steps)
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decode_fn = lambda a: (self.first_stage_model.decode(1. / self.scale_factor * a.to(self.device)) + 1.0)
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output = torch.clamp((
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@ -568,7 +568,7 @@ class VAE:
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pixel_samples = pixel_samples.movedim(-1,1).to(self.device)
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steps = utils.get_tiled_scale_steps(pixel_samples.shape[3], pixel_samples.shape[2], tile_x, tile_y, overlap)
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pbar = tqdm(total=steps)
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pbar = utils.ProgressBar(steps)
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samples = utils.tiled_scale(pixel_samples, lambda a: self.first_stage_model.encode(2. * a - 1.).sample() * self.scale_factor, tile_x, tile_y, overlap, upscale_amount = (1/8), out_channels=4, pbar=pbar)
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samples += utils.tiled_scale(pixel_samples, lambda a: self.first_stage_model.encode(2. * a - 1.).sample() * self.scale_factor, tile_x * 2, tile_y // 2, overlap, upscale_amount = (1/8), out_channels=4, pbar=pbar)
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@ -41,8 +41,8 @@ class ImageUpscaleWithModel:
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tile = 128 + 64
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overlap = 8
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its = -(in_img.shape[2] // -(tile - overlap)) * -(in_img.shape[3] // -(tile - overlap))
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pbar = tqdm(total=its)
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steps = -(in_img.shape[2] // -(tile - overlap)) * -(in_img.shape[3] // -(tile - overlap))
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pbar = comfy.utils.ProgressBar(steps)
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s = comfy.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=tile, tile_y=tile, overlap=overlap, upscale_amount=upscale_model.scale, pbar=pbar)
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upscale_model.cpu()
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s = torch.clamp(s.movedim(-3,-1), min=0, max=1.0)
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