Add `"score"` as a supported `model_type`
Originally, `"score"` is not an allowed model type. However, the documentation supports `"score"` and the method has code related to it. This commit adds it back.
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@ -344,7 +344,7 @@ def model_wrapper(
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noise_uncond, noise = noise_pred_fn(x_in, t_in, cond=c_in).chunk(2)
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return noise_uncond + guidance_scale * (noise - noise_uncond)
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assert model_type in ["noise", "x_start", "v"]
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assert model_type in ["noise", "x_start", "v", "score"]
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assert guidance_type in ["uncond", "classifier", "classifier-free"]
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return model_fn
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@ -872,4 +872,4 @@ def sample_unipc(model, noise, sigmas, extra_args=None, callback=None, disable=F
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return x
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def sample_unipc_bh2(model, noise, sigmas, extra_args=None, callback=None, disable=False):
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return sample_unipc(model, noise, sigmas, extra_args, callback, disable, variant='bh2')
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return sample_unipc(model, noise, sigmas, extra_args, callback, disable, variant='bh2')
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