Skip to content

Support the HuMo 17B model. #9912

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
comfyanonymous merged 1 commit into from
Sep 17, 2025
Merged

Support the HuMo 17B model. #9912

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion comfy/ldm/wan/model.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1364,7 +1364,7 @@ class AudioCrossAttentionWrapper(nn.Module):
def __init__(self, dim, kv_dim, num_heads, qk_norm=True, eps=1e-6, operation_settings={}):
super().__init__()

self.audio_cross_attn = WanT2VCrossAttentionGather(dim, num_heads, qk_norm, kv_dim, eps, operation_settings=operation_settings)
self.audio_cross_attn = WanT2VCrossAttentionGather(dim, num_heads, qk_norm=qk_norm, kv_dim=kv_dim, eps=eps, operation_settings=operation_settings)
self.norm1_audio = operation_settings.get("operations").LayerNorm(dim, eps, elementwise_affine=True, device=operation_settings.get("device"), dtype=operation_settings.get("dtype"))

def forward(self, x, audio, transformer_options={}):
Expand Down
29 changes: 26 additions & 3 deletions comfy/model_base.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1220,14 +1220,37 @@ def __init__(self, model_config, model_type=ModelType.FLOW, image_to_video=False

def extra_conds(self, **kwargs):
out = super().extra_conds(**kwargs)
noise = kwargs.get("noise", None)

audio_embed = kwargs.get("audio_embed", None)
if audio_embed is not None:
out['audio_embed'] = comfy.conds.CONDRegular(audio_embed)

reference_latents = kwargs.get("reference_latents", None)
if reference_latents is not None:
out['reference_latent'] = comfy.conds.CONDRegular(self.process_latent_in(reference_latents[-1]))
if "c_concat" not in out: # 1.7B model
reference_latents = kwargs.get("reference_latents", None)
if reference_latents is not None:
out['reference_latent'] = comfy.conds.CONDRegular(self.process_latent_in(reference_latents[-1]))
else:
noise_shape = list(noise.shape)
noise_shape[1] += 4
concat_latent = torch.zeros(noise_shape, device=noise.device, dtype=noise.dtype)
zero_vae_values_first = torch.tensor([0.8660, -0.4326, -0.0017, -0.4884, -0.5283, 0.9207, -0.9896, 0.4433, -0.5543, -0.0113, 0.5753, -0.6000, -0.8346, -0.3497, -0.1926, -0.6938]).view(1, 16, 1, 1, 1)
zero_vae_values_second = torch.tensor([1.0869, -1.2370, 0.0206, -0.4357, -0.6411, 2.0307, -1.5972, 1.2659, -0.8595, -0.4654, 0.9638, -1.6330, -1.4310, -0.1098, -0.3856, -1.4583]).view(1, 16, 1, 1, 1)
zero_vae_values = torch.tensor([0.8642, -1.8583, 0.1577, 0.1350, -0.3641, 2.5863, -1.9670, 1.6065, -1.0475, -0.8678, 1.1734, -1.8138, -1.5933, -0.7721, -0.3289, -1.3745]).view(1, 16, 1, 1, 1)
concat_latent[:, 4:] = zero_vae_values
concat_latent[:, 4:, :1] = zero_vae_values_first
concat_latent[:, 4:, 1:2] = zero_vae_values_second
out['c_concat'] = comfy.conds.CONDNoiseShape(concat_latent)
reference_latents = kwargs.get("reference_latents", None)
if reference_latents is not None:
ref_latent = self.process_latent_in(reference_latents[-1])
ref_latent_shape = list(ref_latent.shape)
ref_latent_shape[1] += 4 + ref_latent_shape[1]
ref_latent_full = torch.zeros(ref_latent_shape, device=ref_latent.device, dtype=ref_latent.dtype)
ref_latent_full[:, 20:] = ref_latent
ref_latent_full[:, 16:20] = 1.0
out['reference_latent'] = comfy.conds.CONDRegular(ref_latent_full)

return out

class WAN22_S2V(WAN21):
Expand Down
Loading