nodes/kijai-ComfyUI-WanVideoWrapper
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WanAnimate: Actually use clip embeds when provided

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Kinda forgot this model even has those layers...
This commit is contained in:
kijai
2025-10-13 16:44:49 +03:00
parent 5a0456ed9e
commit 64ed8c4183
1 changed files with 9 additions and 8 deletions
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nodes_sampler.py
+9 -8
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@@ -322,13 +322,6 @@ class WanVideoSampler:
device=torch.device("cpu"))
seq_len = image_embeds["max_seq_len"]
clip_fea = image_embeds.get("clip_context", None)
if clip_fea is not None:
clip_fea = clip_fea.to(dtype)
clip_fea_neg = image_embeds.get("negative_clip_context", None)
if clip_fea_neg is not None:
clip_fea_neg = clip_fea_neg.to(dtype)
control_embeds = image_embeds.get("control_embeds", None)
if control_embeds is not None:
if transformer.in_dim not in [148, 52, 48, 36, 32]:
@@ -461,8 +454,16 @@ class WanVideoSampler:
phantom_start_percent = image_embeds.get("phantom_start_percent", 0.0)
phantom_end_percent = image_embeds.get("phantom_end_percent", 1.0)
# CLIP image features
clip_fea = image_embeds.get("clip_context", None)
if clip_fea is not None:
clip_fea = clip_fea.to(dtype)
clip_fea_neg = image_embeds.get("negative_clip_context", None)
if clip_fea_neg is not None:
clip_fea_neg = clip_fea_neg.to(dtype)
num_frames = image_embeds.get("num_frames", 0)
#HuMo inputs
humo_audio = image_embeds.get("humo_audio_emb", None)
humo_audio_neg = image_embeds.get("humo_audio_emb_neg", None)
@@ -2702,7 +2703,7 @@ class WanVideoSampler:
noise_pred, self.cache_state = predict_with_cfg(
latent_model_input, cfg[min(i, len(timesteps)-1)], positive, text_embeds["negative_prompt_embeds"],
timestep, i, cache_state=self.cache_state, image_cond=image_cond_in, wananim_face_pixels=face_images_in,
timestep, i, cache_state=self.cache_state, image_cond=image_cond_in, clip_fea=clip_fea, wananim_face_pixels=face_images_in,
wananim_pose_latents=pose_input_slice, uni3c_data=uni3c_data_input,
)
if callback is not None: