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https://git.datalinker.icu/kijai/ComfyUI-CogVideoXWrapper.git
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Add 5b I2V GGUF
https://huggingface.co/Kijai/CogVideoX_GGUF/blob/main/CogVideoX_5b_I2V_GGUF_Q4_0.safetensors
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@ -21,7 +21,6 @@ from typing import Callable, Dict, List, Optional, Tuple, Union
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import torch
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import torch.nn.functional as F
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from einops import rearrange
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from transformers import T5EncoderModel, T5Tokenizer
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from diffusers.callbacks import MultiPipelineCallbacks, PipelineCallback
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from diffusers.models import AutoencoderKLCogVideoX, CogVideoXTransformer3DModel
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@ -1,6 +1,4 @@
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{
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"_class_name": "CogVideoXTransformer3DModel",
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"_diffusers_version": "0.31.0.dev0",
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"activation_fn": "gelu-approximate",
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"attention_bias": true,
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"attention_head_dim": 64,
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12
nodes.py
12
nodes.py
@ -173,6 +173,7 @@ class DownloadAndLoadCogVideoGGUFModel:
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"model": (
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[
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"CogVideoX_5b_GGUF_Q4_0.safetensors",
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"CogVideoX_5b_I2V_GGUF_Q4_0.safetensors",
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"CogVideoX_5b_fun_GGUF_Q4_0.safetensors",
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],
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),
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@ -198,11 +199,15 @@ class DownloadAndLoadCogVideoGGUFModel:
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if not os.path.exists(gguf_path):
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gguf_path = os.path.join(download_path, model)
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if not os.path.exists(gguf_path):
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if "I2V" in model:
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repo_id = "Kijai/CogVideoX_GGUF"
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else:
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repo_id = "MinusZoneAI/ComfyUI-CogVideoX-MZ"
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log.info(f"Downloading model to: {gguf_path}")
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from huggingface_hub import snapshot_download
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snapshot_download(
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repo_id="MinusZoneAI/ComfyUI-CogVideoX-MZ",
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repo_id=repo_id,
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allow_patterns=[f"*{model}*"],
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local_dir=download_path,
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local_dir_use_symlinks=False,
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@ -212,6 +217,8 @@ class DownloadAndLoadCogVideoGGUFModel:
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with open(os.path.join(script_directory, 'configs', 'transformer_config_5b.json')) as f:
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transformer_config = json.load(f)
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sd = load_torch_file(gguf_path)
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for key, value in sd.items():
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print(key, value.shape, value.dtype)
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from . import mz_gguf_loader
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import importlib
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@ -221,6 +228,9 @@ class DownloadAndLoadCogVideoGGUFModel:
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if "fun" in model:
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transformer_config["in_channels"] = 33
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transformer = CogVideoXTransformer3DModelFun.from_config(transformer_config)
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elif "I2V" in model:
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transformer_config["in_channels"] = 32
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transformer = CogVideoXTransformer3DModel.from_config(transformer_config)
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else:
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transformer_config["in_channels"] = 16
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transformer = CogVideoXTransformer3DModel.from_config(transformer_config)
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