xinyun/ComfyUI-CogVideoXWrapper
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Add strength parameter for image encode

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kijai 2024-11-20 01:32:05 +02:00
parent ecd067260c
commit b9688f3cd2
1 changed files with 3 additions and 2 deletions
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5
nodes.py
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@ -220,6 +220,7 @@ class CogVideoImageEncode:
"end_image": ("IMAGE", ),
"enable_tiling": ("BOOLEAN", {"default": False, "tooltip": "Enable tiling for the VAE to reduce memory usage"}),
"noise_aug_strength": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001, "tooltip": "Augment image with noise"}),
"strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
},
}
@ -228,7 +229,7 @@ class CogVideoImageEncode:
FUNCTION = "encode"
CATEGORY = "CogVideoWrapper"
def encode(self, vae, start_image, end_image=None, enable_tiling=False, noise_aug_strength=0.0):
def encode(self, vae, start_image, end_image=None, enable_tiling=False, noise_aug_strength=0.0, strength=1.0):
device = mm.get_torch_device()
offload_device = mm.unet_offload_device()
generator = torch.Generator(device=device).manual_seed(0)
@ -271,7 +272,7 @@ class CogVideoImageEncode:
else:
final_latents = start_latents
final_latents = final_latents * vae_scaling_factor
final_latents = final_latents * vae_scaling_factor * strength
log.info(f"Encoded latents shape: {final_latents.shape}")
vae.to(offload_device)