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small fixes

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This commit is contained in:
Yousef Rafat 2026-02-19 00:48:26 +02:00
parent b5feac202c
commit ee2b66a2f2
2 changed files with 11 additions and 8 deletions
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4
comfy/ldm/trellis2/model.py
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@ -828,6 +828,7 @@ class Trellis2(nn.Module):
def forward(self, x, timestep, context, **kwargs):
embeds = kwargs.get("embeds")
mode = kwargs.get("generation_mode")
coords = kwargs.get("coords")
transformer_options = kwargs.get("transformer_options")
sigmas = transformer_options.get("sigmas")[0].item()
if sigmas < 1.00001:
@ -836,6 +837,9 @@ class Trellis2(nn.Module):
shape_rule = sigmas < self.guidance_interval[0] or sigmas > self.guidance_interval[1]
txt_rule = sigmas < self.guidance_interval_txt[0] or sigmas > self.guidance_interval_txt[1]
if mode in ["shape_generation", "texture_generation"]:
x = SparseTensor(feats=x, coords=coords)
if mode == "shape_generation":
# TODO
out = self.img2shape(x, timestep, torch.cat([embeds, torch.empty_like(embeds)]))

15
comfy_extras/nodes_trellis2.py
View File

@ -1,9 +1,7 @@
from typing_extensions import override
from comfy_api.latest import ComfyExtension, IO, Types
import torch
from comfy.ldm.trellis2.model import SparseTensor
import comfy.model_management
import comfy.model_patcher
shape_slat_normalization = {
"mean": torch.tensor([
@ -205,7 +203,6 @@ class VaeDecodeStructureTrellis2(IO.ComfyNode):
samples = samples.to(load_device)
decoded = decoder(samples)>0
decoder.to(offload_device)
comfy.model_management.get_offload_stream
out = Types.VOXEL(decoded.squeeze(1).float())
return IO.NodeOutput(out)
@ -253,10 +250,10 @@ class EmptyShapeLatentTrellis2(IO.ComfyNode):
@classmethod
def execute(cls, structure_output):
decoded = structure_output.data
coords = torch.argwhere(decoded.bool())[:, [0, 2, 3, 4]].int().unsqueeze(1)
coords = torch.argwhere(decoded.bool())[:, [0, 2, 3, 4]].int()
in_channels = 32
latent = SparseTensor(feats=torch.randn(coords.shape[0], in_channels), coords=coords)
return IO.NodeOutput({"samples": latent, "type": "trellis2", "generation_mode": "shape_generation"})
latent = torch.randn(coords.shape[0], in_channels)
return IO.NodeOutput({"samples": latent, "type": "trellis2", "generation_mode": "shape_generation", "coords": coords})
class EmptyTextureLatentTrellis2(IO.ComfyNode):
@classmethod
@ -275,9 +272,11 @@ class EmptyTextureLatentTrellis2(IO.ComfyNode):
@classmethod
def execute(cls, structure_output):
# TODO
decoded = structure_output.data
coords = torch.argwhere(decoded.bool())[:, [0, 2, 3, 4]].int()
in_channels = 32
latent = structure_output.replace(feats=torch.randn(structure_output.data.shape[0], in_channels - structure_output.feats.shape[1]))
return IO.NodeOutput({"samples": latent, "type": "trellis2", "generation_mode": "texture_generation"})
latent = torch.randn(coords.shape[0], in_channels - structure_output.feats.shape[1])
return IO.NodeOutput({"samples": latent, "type": "trellis2", "generation_mode": "texture_generation", "coords": coords})
class EmptyStructureLatentTrellis2(IO.ComfyNode):
@classmethod