46 lines
2.2 KiB
Python
46 lines
2.2 KiB
Python
"""
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@author: initials AMAA
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@title: Ardenius
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@nickname: Ardenius
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@description: ARD 4VAE Decode takes in 4 latent images and decodes them.
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"""
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# licensed under General Public License v3.0 all rights reserved © 2024
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# ( author initials AMAA Nickname Ardenius contact information ardenius7@gmail.com attribution link https://ko-fi.com/ardenius )
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# ➡️ follow me at https://ko-fi.com/ardenius in the top right corner (follow)
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# 📸 Change the mood ! by Visiting my AI Image Gallery
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# 🏆 Support me by getting Premium Members only Perks (Premium SD Models, ComfyUI custom nodes, and more to come)
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# below code is based upon ComfyUI code licensed under General Public License v3.0 https://www.gnu.org/licenses/gpl-3.0.txt by
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# contributers found here https://github.com/comfyanonymous/ComfyUI
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# thus all code here is released to the user as per the GPL V3.0 terms.
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class ARD_4VAE_DECODE:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": {"samples_1": ("LATENT",),
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"vae": ("VAE", ),
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"tile_size": ("INT", {"default": 512, "min": 320, "max": 4096, "step": 64}),
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},
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"optional": {"samples_2": ("LATENT",),
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"samples_3": ("LATENT",),
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"samples_4": ("LATENT",),
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},
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}
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RETURN_NAMES = ("image_1", "image_2", "image_3", "image_4",)
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RETURN_TYPES = ("IMAGE", "IMAGE", "IMAGE", "IMAGE",)
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FUNCTION = "ard_4vae_decode"
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CATEGORY = "Ardenius"
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DESCRIPTION = "ARD 4VAE Decode takes in 4 latent images and decodes them"
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# my_code_start
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def ard_4vae_decode(self, vae, tile_size, samples_1, samples_2, samples_3, samples_4):
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result1 = self.decode(vae, samples_1, tile_size)
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result2 = self.decode(vae, samples_2, tile_size)
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result3 = self.decode(vae, samples_3, tile_size)
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result4 = self.decode(vae, samples_4, tile_size)
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return (result1, result2, result3, result4,)
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# my_code_end
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def decode(self, vae, sample_n, tile_size):
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return vae.decode_tiled(sample_n["samples"], tile_x=tile_size // 8, tile_y=tile_size // 8,)
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