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Add "score" as a supported model_type

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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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Hongbo 2024-02-27 21:04:19 -05:00 committed by GitHub
parent 8daedc5bf2
commit 5d2475ef80
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1 changed files with 2 additions and 2 deletions
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comfy/extra_samplers/uni_pc.py
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@ -344,7 +344,7 @@ def model_wrapper(
noise_uncond, noise = noise_pred_fn(x_in, t_in, cond=c_in).chunk(2) noise_uncond, noise = noise_pred_fn(x_in, t_in, cond=c_in).chunk(2)
return noise_uncond + guidance_scale * (noise - noise_uncond) return noise_uncond + guidance_scale * (noise - noise_uncond)
assert model_type in ["noise", "x_start", "v"] assert model_type in ["noise", "x_start", "v", "score"]
assert guidance_type in ["uncond", "classifier", "classifier-free"] assert guidance_type in ["uncond", "classifier", "classifier-free"]
return model_fn return model_fn
@ -872,4 +872,4 @@ def sample_unipc(model, noise, sigmas, extra_args=None, callback=None, disable=F
return x return x
def sample_unipc_bh2(model, noise, sigmas, extra_args=None, callback=None, disable=False): def sample_unipc_bh2(model, noise, sigmas, extra_args=None, callback=None, disable=False):
return sample_unipc(model, noise, sigmas, extra_args, callback, disable, variant='bh2') return sample_unipc(model, noise, sigmas, extra_args, callback, disable, variant='bh2')