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added progress to encode + upscale
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12
comfy/sd.py
12
comfy/sd.py
@ -491,9 +491,15 @@ class VAE:
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model_management.unload_model()
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self.first_stage_model = self.first_stage_model.to(self.device)
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pixel_samples = pixel_samples.movedim(-1,1).to(self.device)
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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)
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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)
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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)
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it_1 = -(pixel_samples.shape[2] // -(tile_y * 2 - overlap)) * -(pixel_samples.shape[3] // -(tile_x // 2 - overlap))
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it_2 = -(pixel_samples.shape[2] // -(tile_y // 2 - overlap)) * -(pixel_samples.shape[3] // -(tile_x * 2 - overlap))
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it_3 = -(pixel_samples.shape[2] // -(tile_y - overlap)) * -(pixel_samples.shape[3] // -(tile_x - overlap))
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pbar = tqdm(total=(it_1 + it_2 + it_3))
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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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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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samples /= 3.0
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self.first_stage_model = self.first_stage_model.cpu()
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samples = samples.cpu()
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@ -4,6 +4,7 @@ from comfy import model_management
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import torch
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import comfy.utils
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import folder_paths
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from tqdm.auto import tqdm
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class UpscaleModelLoader:
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@classmethod
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@ -37,7 +38,12 @@ class ImageUpscaleWithModel:
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device = model_management.get_torch_device()
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upscale_model.to(device)
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in_img = image.movedim(-1,-3).to(device)
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s = comfy.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=128 + 64, tile_y=128 + 64, overlap = 8, upscale_amount=upscale_model.scale)
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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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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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return (s,)
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