54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
from copy import copy
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class DecoderNoise:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"vae": ("VAE",),
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"timestep": (
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"FLOAT",
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{
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"default": 0.05,
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"min": 0.0,
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"max": 1.0,
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"step": 0.001,
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"tooltip": "The timestep used for decoding the noise.",
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},
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),
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"scale": (
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"FLOAT",
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{
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"default": 0.025,
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"min": 0.0,
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"max": 1.0,
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"step": 0.001,
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"tooltip": "The scale of the noise added to the decoder.",
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},
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),
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"seed": (
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"INT",
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{
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"default": 42,
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"min": 0,
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"max": 0xFFFFFFFFFFFFFFFF,
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"tooltip": "The random seed used for creating the noise.",
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},
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),
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}
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}
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FUNCTION = "add_noise"
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RETURN_TYPES = ("VAE",)
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CATEGORY = "latent"
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def add_noise(self, vae, timestep, scale, seed):
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result = copy(vae)
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if hasattr(result, "first_stage_model"):
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result.first_stage_model.decode_timestep = timestep
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result.first_stage_model.decode_noise_scale = scale
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result._decode_timestep = timestep
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result.decode_noise_scale = scale
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result.seed = seed
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return (result,)
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