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added conditioning

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This commit is contained in:
Yousef Rafat 2026-02-19 02:01:26 +02:00
parent 4e401fd353
commit 5c32043bc6
1 changed files with 27 additions and 0 deletions
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27
comfy_extras/nodes_trellis2.py
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@ -2,6 +2,8 @@ from typing_extensions import override
from comfy_api.latest import ComfyExtension, IO, Types from comfy_api.latest import ComfyExtension, IO, Types
import torch import torch
import comfy.model_management import comfy.model_management
from PIL import Image
import numpy as np
shape_slat_normalization = { shape_slat_normalization = {
"mean": torch.tensor([ "mean": torch.tensor([
@ -226,6 +228,31 @@ class Trellis2Conditioning(IO.ComfyNode):
@classmethod @classmethod
def execute(cls, clip_vision_model, image, mask, background_color) -> IO.NodeOutput: def execute(cls, clip_vision_model, image, mask, background_color) -> IO.NodeOutput:
if image.ndim == 4:
image = image[0]
# TODO
image = Image.fromarray(image.numpy())
max_size = max(image.size)
scale = min(1, 1024 / max_size)
if scale < 1:
image = image.resize((int(image.width * scale), int(input.height * scale)), Image.Resampling.LANCZOS)
output_np = np.array(image)
alpha = output_np[:, :, 3]
bbox = np.argwhere(alpha > 0.8 * 255)
bbox = np.min(bbox[:, 1]), np.min(bbox[:, 0]), np.max(bbox[:, 1]), np.max(bbox[:, 0])
center = (bbox[0] + bbox[2]) / 2, (bbox[1] + bbox[3]) / 2
size = max(bbox[2] - bbox[0], bbox[3] - bbox[1])
size = int(size * 1)
bbox = center[0] - size // 2, center[1] - size // 2, center[0] + size // 2, center[1] + size // 2
output = image.crop(bbox) # type: ignore
output = np.array(output).astype(np.float32) / 255
output = output[:, :, :3] * output[:, :, 3:4]
image = torch.tensor(output)
# could make 1024 an option # could make 1024 an option
conditioning, _ = run_conditioning(clip_vision_model, image, mask, include_1024=True, background_color=background_color) conditioning, _ = run_conditioning(clip_vision_model, image, mask, include_1024=True, background_color=background_color)
embeds = conditioning["cond_1024"] # should add that embeds = conditioning["cond_1024"] # should add that