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refine code

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Artiprocher
2025-07-29 18:47:16 +08:00
parent 7df48fc2b5
commit 9c51623fc2
14 changed files with 124 additions and 18 deletions
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72
diffsynth/models/nexus_gen.py
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@@ -1,18 +1,77 @@
import torch
from PIL import Image
from qwen_vl_utils import smart_resize
from transformers import AutoConfig
from .nexus_gen_ar_model import Qwen2_5_VLForConditionalGeneration, Qwen2_5_VLProcessor
class NexusGenAutoregressiveModel(torch.nn.Module):
def __init__(self, model_path="models/DiffSynth-Studio/Nexus-GenV2", max_length=1024, max_pixels=262640, dtype=torch.bfloat16, device="cuda"):
def __init__(self, max_length=1024, max_pixels=262640):
super(NexusGenAutoregressiveModel, self).__init__()
from .nexus_gen_ar_model import Qwen2_5_VLForConditionalGeneration
from transformers import Qwen2_5_VLConfig
self.max_length = max_length
self.max_pixels = max_pixels
model_config = AutoConfig.from_pretrained(model_path)
model_config = Qwen2_5_VLConfig(**{
"_name_or_path": "DiffSynth-Studio/Nexus-GenV2",
"architectures": [
"Qwen2_5_VLForConditionalGeneration"
],
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_qwen2_5_vl.Qwen2_5_VLConfig",
"AutoModel": "modeling_qwen2_5_vl.Qwen2_5_VLModel",
"AutoModelForCausalLM": "modeling_qwen2_5_vl.Qwen2_5_VLForConditionalGeneration"
},
"bos_token_id": 151643,
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 3584,
"image_token_id": 151655,
"initializer_range": 0.02,
"intermediate_size": 18944,
"max_position_embeddings": 128000,
"max_window_layers": 28,
"model_type": "qwen2_5_vl",
"num_attention_heads": 28,
"num_hidden_layers": 28,
"num_key_value_heads": 4,
"pad_token_id": 151643,
"rms_norm_eps": 1e-06,
"rope_scaling": {
"mrope_section": [
16,
24,
24
],
"rope_type": "default",
"type": "default"
},
"rope_theta": 1000000.0,
"sliding_window": 32768,
"tie_word_embeddings": False,
"torch_dtype": "bfloat16",
"transformers_version": "4.49.0",
"use_cache": False,
"use_sliding_window": False,
"video_token_id": 151656,
"vision_config": {
"hidden_size": 1280,
"in_chans": 3,
"model_type": "qwen2_5_vl",
"spatial_patch_size": 14,
"tokens_per_second": 2,
"torch_dtype": "bfloat16"
},
"vision_end_token_id": 151653,
"vision_start_token_id": 151652,
"vision_token_id": 151654,
"vocab_size": 152064
})
self.model = Qwen2_5_VLForConditionalGeneration(model_config)
self.processor = Qwen2_5_VLProcessor.from_pretrained(model_path)
self.processor = None
def load_processor(self, path):
from .nexus_gen_ar_model import Qwen2_5_VLProcessor
self.processor = Qwen2_5_VLProcessor.from_pretrained(path)
@staticmethod
@@ -20,6 +79,7 @@ class NexusGenAutoregressiveModel(torch.nn.Module):
return NexusGenAutoregressiveModelStateDictConverter()
def bound_image(self, image, max_pixels=262640):
from qwen_vl_utils import smart_resize
resized_height, resized_width = smart_resize(
image.height,
image.width,