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Fixed I2V Frames Hardcoded at 81! in WanI2V.generate()
Look for 20250226 pftq
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b5d66656ae
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@ -204,13 +204,19 @@ class WanI2V:
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generator=seed_g,
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device=self.device)
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msk = torch.ones(1, 81, lat_h, lat_w, device=self.device)
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#20250226 fix noise assuming frames hardcoded at 81 (21 latent frames)
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latent_frame_num = (frame_num - 1) // self.vae_stride[0] + 1
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noise = torch.randn(16, latent_frame_num, lat_h, lat_w, dtype=torch.float32, generator=seed_g, device=self.device)
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#msk = torch.ones(1, 81, lat_h, lat_w, device=self.device)
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msk = torch.ones(1, F, lat_h, lat_w, device=self.device) # 20250226 pftq: Fixed frames being hardcoded as 81
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msk[:, 1:] = 0
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msk = torch.concat([
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torch.repeat_interleave(msk[:, 0:1], repeats=4, dim=1), msk[:, 1:]
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],
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dim=1)
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msk = msk.view(1, msk.shape[1] // 4, 4, lat_h, lat_w)
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#msk = msk.view(1, msk.shape[1] // 4, 4, lat_h, lat_w)
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msk = msk.view(1, latent_frame_num, 4, lat_h, lat_w) # 20250226 pftq: align to actual frames, not hardcoded 81 frames
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msk = msk.transpose(1, 2)[0]
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if n_prompt == "":
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@ -239,7 +245,8 @@ class WanI2V:
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torch.nn.functional.interpolate(
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img[None].cpu(), size=(h, w), mode='bicubic').transpose(
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0, 1),
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torch.zeros(3, 80, h, w)
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#torch.zeros(3, 80, h, w)
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torch.zeros(3, F-1, h, w) # 20250226 pftq: fixed 80 being hardcoded frame-1
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],
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dim=1).to(self.device)
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])[0]
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