change file save path test
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@@ -10,6 +10,14 @@ import os
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import folder_paths
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import numpy as np
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from PIL import Image
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from PIL.PngImagePlugin import PngInfo
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import json
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# Add debug print for output directory
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output_dir = folder_paths.get_output_directory()
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print(f"Debug - Output directory path: {output_dir}")
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print(f"Debug - Output directory exists: {os.path.exists(output_dir)}")
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print(f"Debug - Output directory is writable: {os.access(output_dir, os.W_OK) if os.path.exists(output_dir) else False}")
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def fun_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent, vae, denoise=1.0, disable_noise=False, start_step=None, last_step=None, force_full_denoise=False, preview_steps=5, skip_steps=0):
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latent_image = latent["samples"]
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@@ -75,10 +83,26 @@ class PreviewCallback:
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image = (image * 255).astype(np.uint8)
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image = Image.fromarray(image[0])
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# Save the image
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filename = f"preview_step_{step:03d}.png"
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filepath = os.path.join(self.output_dir, filename)
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image.save(filepath)
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# Use the same approach as SaveImage for saving files
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filename_prefix = f"preview_step_{step:03d}"
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full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(
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filename_prefix,
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self.output_dir,
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image.size[0], # width
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image.size[1] # height
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)
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# Create metadata
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metadata = PngInfo()
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metadata.add_text("step", str(step))
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metadata.add_text("total_steps", str(total_steps))
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# Save the image with metadata
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file = f"{filename}_{counter:05}_.png"
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filepath = os.path.join(full_output_folder, file)
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image.save(filepath, pnginfo=metadata, compress_level=4)
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print(f"Saved preview image to: {filepath}")
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class KSampler:
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@classmethod
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