jinx/ComfyUI
1
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2025-08-02 23:14:49 +08:00
Code Issues Activity

Support loading and using SkyReels-V1-Hunyuan-I2V (#6862)

Browse Source 
* Support SkyReels-V1-Hunyuan-I2V

* VAE scaling

* Fix T2V

oops

* Proper latent scaling
This commit is contained in:
Jukka Seppänen
2025-02-19 00:06:54 +02:00
committed by GitHub
parent b07258cef2
commit acc152b674
3 changed files with 11 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

9
comfy/model_base.py
View File

@@ -871,6 +871,15 @@ class HunyuanVideo(BaseModel):
if cross_attn is not None:
out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn)
image = kwargs.get("concat_latent_image", None)
noise = kwargs.get("noise", None)
if image is not None:
padding_shape = (noise.shape[0], 16, noise.shape[2] - 1, noise.shape[3], noise.shape[4])
latent_padding = torch.zeros(padding_shape, device=noise.device, dtype=noise.dtype)
image_latents = torch.cat([image.to(noise), latent_padding], dim=2)
out['c_concat'] = comfy.conds.CONDNoiseShape(self.process_latent_in(image_latents))
guidance = kwargs.get("guidance", 6.0)
if guidance is not None:
out['guidance'] = comfy.conds.CONDRegular(torch.FloatTensor([guidance]))