nodes/1038lab-ComfyUI-RMBG
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This commit is contained in:
AI Lab
2025-12-09 14:50:41 -08:00
committed by GitHub
parent 5375016915
commit 320c566024
1 changed files with 16 additions and 2 deletions
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AILab_SAM3Segment.py
+16 -2
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@@ -119,6 +119,7 @@ class SAM3Segment:
"mask_blur": ("INT", {"default": 0, "min": 0, "max": 64, "step": 1}),
"mask_offset": ("INT", {"default": 0, "min": -64, "max": 64, "step": 1}),
"invert_output": ("BOOLEAN", {"default": False}),
"unload_model": ("BOOLEAN", {"default": False}),
"background": (["Alpha", "Color"], {"default": "Alpha"}),
"background_color": ("COLORCODE", {"default": "#222222"}),
},
@@ -190,14 +191,18 @@ class SAM3Segment:
mask_rgb = mask_tensor.reshape((-1, 1, mask_image.height, mask_image.width)).movedim(1, -1).expand(-1, -1, -1, 3)
return result_image, mask_tensor, mask_rgb
def segment(self, image, prompt, sam3_model, device, confidence_threshold=0.5, mask_blur=0, mask_offset=0, invert_output=False, background="Alpha", background_color="#222222"):
def segment(self, image, prompt, sam3_model, device, confidence_threshold=0.5, mask_blur=0, mask_offset=0, invert_output=False, unload_model=False, background="Alpha", background_color="#222222"):
if image.ndim == 3:
image = image.unsqueeze(0)
processor, torch_device = self._load_processor(sam3_model, device)
autocast_device = comfy.model_management.get_autocast_device(torch_device)
autocast_enabled = torch_device.type == "cuda" and not comfy.model_management.is_device_mps(torch_device)
ctx = torch.autocast(autocast_device, dtype=torch.bfloat16) if autocast_enabled else nullcontext()
result_images, result_masks, result_mask_images = [], [], []
with ctx:
for tensor_img in image:
img_pil, mask_tensor, mask_rgb = self._run_single(
@@ -214,6 +219,15 @@ class SAM3Segment:
result_images.append(pil2tensor(img_pil))
result_masks.append(mask_tensor)
result_mask_images.append(mask_rgb)
if unload_model:
device_str = "cuda" if torch_device.type == "cuda" else "cpu"
cache_key = (sam3_model, device_str)
if cache_key in self.processor_cache:
del self.processor_cache[cache_key]
if torch_device.type == "cuda":
torch.cuda.empty_cache()
return torch.cat(result_images, dim=0), torch.cat(result_masks, dim=0), torch.cat(result_mask_images, dim=0)
@@ -223,4 +237,4 @@ NODE_CLASS_MAPPINGS = {
NODE_DISPLAY_NAME_MAPPINGS = {
"SAM3Segment": "SAM3 Segmentation (RMBG)",
}
}