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mi804
2025-07-28 11:09:33 +08:00
parent 1dfa32f0ae
commit b8f05bb342
3 changed files with 27 additions and 1 deletions
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2
diffsynth/configs/model_config.py
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@@ -69,6 +69,7 @@ from ..models.flux_value_control import SingleValueEncoder
from ..lora.flux_lora import FluxLoraPatcher
from ..models.flux_lora_encoder import FluxLoRAEncoder
from ..models.nexus_gen_projector import NexusGenAdapter
model_loader_configs = [
# These configs are provided for detecting model type automatically.
@@ -152,6 +153,7 @@ model_loader_configs = [
(None, "d30fb9e02b1dbf4e509142f05cf7dd50", ["flux_dit", "step1x_connector"], [FluxDiT, Qwen2Connector], "civitai"),
(None, "30143afb2dea73d1ac580e0787628f8c", ["flux_lora_patcher"], [FluxLoraPatcher], "civitai"),
(None, "77c2e4dd2440269eb33bfaa0d004f6ab", ["flux_lora_encoder"], [FluxLoRAEncoder], "civitai"),
(None, "3e6c61b0f9471135fc9c6d6a98e98b6d", ["flux_dit", "nexus-gen_adapter"], [FluxDiT, NexusGenAdapter], "civitai"),
]
huggingface_model_loader_configs = [
# These configs are provided for detecting model type automatically.

5
diffsynth/models/flux_dit.py
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@@ -2,7 +2,7 @@ import torch
from .sd3_dit import TimestepEmbeddings, AdaLayerNorm, RMSNorm
from einops import rearrange
from .tiler import TileWorker
from .utils import init_weights_on_device
from .utils import init_weights_on_device, hash_state_dict_keys
def interact_with_ipadapter(hidden_states, q, ip_k, ip_v, scale=1.0):
batch_size, num_tokens = hidden_states.shape[0:2]
@@ -662,6 +662,9 @@ class FluxDiTStateDictConverter:
return state_dict_
def from_civitai(self, state_dict):
if hash_state_dict_keys(state_dict, with_shape=True) == "3e6c61b0f9471135fc9c6d6a98e98b6d":
dit_state_dict = {key.replace("pipe.dit.", ""): value for key, value in state_dict.items() if not key.startswith('adapter.')}
return dit_state_dict
rename_dict = {
"time_in.in_layer.bias": "time_embedder.timestep_embedder.0.bias",
"time_in.in_layer.weight": "time_embedder.timestep_embedder.0.weight",

21
examples/flux/model_inference/Nexus-Gen-Generation.py Normal file
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@@ -0,0 +1,21 @@
import importlib
import torch
from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
if importlib.util.find_spec("transformers") is None:
raise ImportError("You are using Nexus-GenV2. It depends on transformers, which is not installed. Please install it with `pip install transformers==4.49.0`.")
else:
import transformers
assert transformers.__version__ == "4.49.0", "Nexus-GenV2 requires transformers==0.49.0, please install it with `pip install transformers==0.49.0`."
pipe = FluxImagePipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
model_configs=[
ModelConfig(model_id="DiffSynth-Studio/Nexus-GenV2"),
ModelConfig(model_id="DiffSynth-Studio/Nexus-GenV2", origin_file_pattern="generation_decoder.bin"),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/"),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
],
)