nodes/MrForExample-ComfyUI-3D-Pack
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Update Diffusers Download Node & Unique3D related workflows

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Mr. For Example
2024-07-11 13:30:14 -06:00
parent d8408ce220
commit dd3f6c80f4
20 changed files with 430 additions and 420 deletions
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nodes.py
+16 -14
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@@ -1390,8 +1390,11 @@ class Load_Diffusers_Pipeline:
"diffusers_pipeline_name": (list(DIFFUSERS_PIPE_DICT.keys()),),
"repo_id": ("STRING", {"default": "ashawkey/imagedream-ipmv-diffusers", "multiline": False}),
"custom_pipeline": ("STRING", {"default": "", "multiline": False}),
"download_from_remote": ("BOOLEAN", {"default": True}),
"force_download": ("BOOLEAN", {"default": False}),
},
"optional": {
"checkpoint_sub_dir": ("STRING", {"default": "", "multiline": False}),
}
}
RETURN_TYPES = (
@@ -1403,12 +1406,11 @@ class Load_Diffusers_Pipeline:
FUNCTION = "load_diffusers_pipe"
CATEGORY = "Comfy3D/Import|Export"
def load_diffusers_pipe(self, diffusers_pipeline_name, repo_id, custom_pipeline, download_from_remote):
def load_diffusers_pipe(self, diffusers_pipeline_name, repo_id, custom_pipeline, force_download, checkpoint_sub_dir=""):
# resume download pretrained checkpoint
ckpt_path = os.path.join(CKPT_DIFFUSERS_PATH, repo_id)
if download_from_remote:
snapshot_download(repo_id=repo_id, local_dir=ckpt_path, repo_type="model", ignore_patterns=["*.json", "*.py"])
ckpt_download_dir = os.path.join(CKPT_DIFFUSERS_PATH, repo_id)
snapshot_download(repo_id=repo_id, local_dir=ckpt_download_dir, force_download=force_download, repo_type="model", ignore_patterns=["*.json", "*.py"])
diffusers_pipeline_class = DIFFUSERS_PIPE_DICT[diffusers_pipeline_name]
@@ -1416,6 +1418,7 @@ class Load_Diffusers_Pipeline:
if not custom_pipeline:
custom_pipeline = None
ckpt_path = ckpt_download_dir if not checkpoint_sub_dir else os.path.join(ckpt_download_dir, checkpoint_sub_dir)
pipe = diffusers_pipeline_class.from_pretrained(
ckpt_path,
torch_dtype=WEIGHT_DTYPE,
@@ -2575,12 +2578,12 @@ class FlexiCubes_MVS:
return (mesh, )
class Load_Unique3D_Custom_UNet:
checkpoints_dir = "Wuvin/Unique3D"
default_repo_id = "MrForExample/Unique3D"
config_root_dir = "Unique3D_configs"
@classmethod
def INPUT_TYPES(cls):
cls.checkpoints_dir_abs = os.path.join(CKPT_DIFFUSERS_PATH, cls.default_repo_id)
cls.config_path_abs = os.path.join(CONFIG_ROOT_PATH, cls.config_root_dir)
return {
"required": {
@@ -2604,11 +2607,8 @@ class Load_Unique3D_Custom_UNet:
from Unique3D.custum_3d_diffusion.custum_modules.unifield_processor import AttnConfig, ConfigurableUNet2DConditionModel
from Unique3D.custum_3d_diffusion.trainings.utils import load_config
# Download models and configs
ckpt_path = os.path.join(CKPT_DIFFUSERS_PATH, self.checkpoints_dir)
snapshot_download(repo_id=self.default_repo_id, local_dir=ckpt_path, repo_type="model", ignore_patterns=["*.json", "*.py"])
cfg_path = os.path.join(self.config_path_abs, config_name + ".yaml")
checkpoint_dir_path = os.path.join(ckpt_path, config_name)
checkpoint_dir_path = os.path.join(self.checkpoints_dir_abs, config_name)
checkpoint_path = os.path.join(checkpoint_dir_path, "unet_state_dict.pth")
cfg: ExprimentConfig = load_config(ExprimentConfig, cfg_path)
@@ -2855,6 +2855,7 @@ class Load_CharacterGen_MVDiffusion_Model:
cls.config_root_path_abs = os.path.join(CONFIG_ROOT_PATH, cls.config_path)
return {
"required": {
"force_download": ("BOOLEAN", {"default": False}),
},
}
@@ -2867,9 +2868,9 @@ class Load_CharacterGen_MVDiffusion_Model:
FUNCTION = "load_model"
CATEGORY = "Comfy3D/Import|Export"
def load_model(self):
def load_model(self, force_download):
# Download checkpoints
snapshot_download(repo_id=self.default_repo_id, local_dir=self.checkpoints_dir_abs, repo_type="model", ignore_patterns=["*.json", "*.py"])
snapshot_download(repo_id=self.default_repo_id, local_dir=self.checkpoints_dir_abs, force_download=force_download, repo_type="model", ignore_patterns=["*.json", "*.py"])
# Load pre-trained models
character_mv_gen_pipe = Inference2D_API(checkpoint_root_path=self.checkpoints_dir_abs, **OmegaConf.load(self.config_root_path_abs))
return (character_mv_gen_pipe,)
@@ -2953,6 +2954,7 @@ class Load_CharacterGen_Reconstruction_Model:
cls.config_root_path_abs = os.path.join(CONFIG_ROOT_PATH, cls.config_path)
return {
"required": {
"force_download": ("BOOLEAN", {"default": False}),
},
}
@@ -2965,9 +2967,9 @@ class Load_CharacterGen_Reconstruction_Model:
FUNCTION = "load_model"
CATEGORY = "Comfy3D/Import|Export"
def load_model(self):
def load_model(self, force_download):
# Download checkpoints
snapshot_download(repo_id=self.default_repo_id, local_dir=self.checkpoints_dir_abs, repo_type="model", ignore_patterns=["*.json", "*.py"])
snapshot_download(repo_id=self.default_repo_id, local_dir=self.checkpoints_dir_abs, force_download=force_download, repo_type="model", ignore_patterns=["*.json", "*.py"])
# Load pre-trained models
character_lrm_pipe = Inference3D_API(checkpoint_root_path=self.checkpoints_dir_abs, cfg=load_config_cg3d(self.config_root_path_abs))
return (character_lrm_pipe,)