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Basic Hunyuan Video model support.

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comfyanonymous
2024-12-16 19:35:40 -05:00
parent 19ee5d9d8b
commit bda1482a27
18 changed files with 413646 additions and 76 deletions
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16
comfy_extras/nodes_hunyuan.py
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@@ -17,7 +17,23 @@ class CLIPTextEncodeHunyuanDiT:
return (clip.encode_from_tokens_scheduled(tokens), )
class EmptyHunyuanLatentVideo:
@classmethod
def INPUT_TYPES(s):
return {"required": { "width": ("INT", {"default": 848, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}),
"height": ("INT", {"default": 480, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}),
"length": ("INT", {"default": 25, "min": 1, "max": nodes.MAX_RESOLUTION, "step": 4}),
"batch_size": ("INT", {"default": 1, "min": 1, "max": 4096})}}
RETURN_TYPES = ("LATENT",)
FUNCTION = "generate"
CATEGORY = "latent/video"
def generate(self, width, height, length, batch_size=1):
latent = torch.zeros([batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device())
return ({"samples":latent}, )
NODE_CLASS_MAPPINGS = {
"CLIPTextEncodeHunyuanDiT": CLIPTextEncodeHunyuanDiT,
"EmptyHunyuanLatentVideo": EmptyHunyuanLatentVideo,
}