[WIP] Fix Qwen Edit Plus modular for multi-image input #12601
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sayakpaul
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Nov 6, 2025
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| vae_scale_factor = components.vae_scale_factor | ||
| block_state.img_shapes = [ | ||
| [ | ||
| (1, block_state.height // vae_scale_factor // 2, block_state.width // vae_scale_factor // 2), | ||
| *[ | ||
| (1, vae_height // vae_scale_factor // 2, vae_width // vae_scale_factor // 2) | ||
| for vae_width, vae_height in block_state.vae_image_sizes | ||
| ], | ||
| ] |
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Main difference from the existing RoPE block for Edit.
sayakpaul
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Nov 6, 2025
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| vae_image_sizes = [] | ||
| for img in block_state.vae_image: | ||
| width, height = img.size | ||
| vae_width, vae_height, _ = calculate_dimensions(self.vae_image_size, width / height) | ||
| vae_image_sizes.append((vae_width, vae_height)) | ||
| processed_images.append( | ||
| components.image_processor.preprocess(image=img, height=vae_height, width=vae_width) | ||
| ) | ||
| block_state.processed_image = torch.stack(processed_images, dim=0).squeeze(1) |
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Each input image can have a different resolution and that is why separate preprocess is needed (also following the original implementation). This came into fruition because we started testing with multiple input images.
sayakpaul
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Nov 6, 2025
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| if self.reshape_to_seq_dim: | ||
| channels = image_latent_tensor.shape[-1] | ||
| image_latent_tensor = image_latent_tensor.reshape(1, -1, channels) |
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Qwen Image Edit Plus specific.
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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