Description
Describe the bug
Without LORA works fine. I tried the latest version of peft as well as 0.6.0 which gives another error.
Is it that Lora is not supposed to work with GGUF weights?
Reproduction
pipe = HunyuanVideoPipeline.from_pretrained(
model_id,
transformer=transformer,
torch_dtype=torch.float16
)
pipe.load_lora_weights("lora", weight_name="xiangling_ep1_lora.safetensors", adapter_name="hunyuan-lora")
pipe.set_adapters("hunyuan-lora", 0.8)
pipe.vae.enable_tiling()
pipe.enable_model_cpu_offload()
Logs
Loading checkpoint shards: 100%|████████████████████████████████████| 4/4 [00:01<00:00, 3.27it/s]
Loading pipeline components...: 100%|███████████████████████████████| 7/7 [00:04<00:00, 1.55it/s]
Traceback (most recent call last):
File "C:\ai1\LTX-Video\HunyuanVideo\HunyuanVideo_LORA_gradio.py", line 169, in <module>
pipe.load_lora_weights("lora", weight_name="xiangling_ep1_lora.safetensors", adapter_name="hunyuan-lora")
File "C:\ai1\LTX-Video\venv\lib\site-packages\diffusers\loaders\lora_pipeline.py", line 4075, in load_lora_weights
self.load_lora_into_transformer(
File "C:\ai1\LTX-Video\venv\lib\site-packages\diffusers\loaders\lora_pipeline.py", line 4112, in load_lora_into_transformer
transformer.load_lora_adapter(
File "C:\ai1\LTX-Video\venv\lib\site-packages\diffusers\loaders\peft.py", line 326, in load_lora_adapter
inject_adapter_in_model(lora_config, self, adapter_name=adapter_name, **peft_kwargs)
File "C:\ai1\LTX-Video\venv\lib\site-packages\peft\mapping.py", line 260, in inject_adapter_in_model
peft_model = tuner_cls(model, peft_config, adapter_name=adapter_name, low_cpu_mem_usage=low_cpu_mem_usage)
File "C:\ai1\LTX-Video\venv\lib\site-packages\peft\tuners\lora\model.py", line 141, in __init__
super().__init__(model, config, adapter_name, low_cpu_mem_usage=low_cpu_mem_usage)
File "C:\ai1\LTX-Video\venv\lib\site-packages\peft\tuners\tuners_utils.py", line 184, in __init__
self.inject_adapter(self.model, adapter_name, low_cpu_mem_usage=low_cpu_mem_usage)
File "C:\ai1\LTX-Video\venv\lib\site-packages\peft\tuners\tuners_utils.py", line 520, in inject_adapter
raise ValueError(error_msg)
ValueError: Target modules {'modulation.linear', 'txt_attn_proj', 'fc1', 'txt_attn_qkv', 'fc2', 'txt_mod.linear', 'img_mod.linear', 'linear1', 'linear2', 'img_attn_qkv', 'img_attn_proj'} not found in the base model. Please check the target modules and try again.System Info
python 3.10.11
(venv) C:\ai1\LTX-Video\HunyuanVideo>pip list
Package Version
accelerate 1.2.1
aiofiles 23.2.1
annotated-types 0.7.0
anyio 4.7.0
certifi 2024.12.14
charset-normalizer 3.4.0
click 8.1.7
colorama 0.4.6
diffusers 0.32.0.dev0
einops 0.8.0
exceptiongroup 1.2.2
fastapi 0.115.6
ffmpy 0.5.0
filelock 3.16.1
fsspec 2024.12.0
gguf 0.13.0
gradio 5.9.1
gradio_client 1.5.2
h11 0.14.0
httpcore 1.0.7
httpx 0.28.1
huggingface-hub 0.25.2
idna 3.10
imageio 2.36.1
imageio-ffmpeg 0.5.1
importlib_metadata 8.5.0
Jinja2 3.1.4
markdown-it-py 3.0.0
MarkupSafe 2.1.5
mdurl 0.1.2
mpmath 1.3.0
networkx 3.4.2
numpy 2.2.0
opencv-python 4.10.0.84
orjson 3.10.12
packaging 24.2
pandas 2.2.3
peft 0.14.0
pillow 11.0.0
pip 23.0.1
psutil 6.1.1
pydantic 2.10.4
pydantic_core 2.27.2
pydub 0.25.1
Pygments 2.18.0
python-dateutil 2.9.0.post0
python-multipart 0.0.20
pytz 2024.2
PyYAML 6.0.2
regex 2024.11.6
requests 2.32.3
rich 13.9.4
ruff 0.8.4
safehttpx 0.1.6
safetensors 0.4.5
semantic-version 2.10.0
sentencepiece 0.2.0
setuptools 65.5.0
shellingham 1.5.4
six 1.17.0
sniffio 1.3.1
starlette 0.41.3
sympy 1.13.1
tokenizers 0.21.0
tomlkit 0.13.2
torch 2.5.1+cu124
torchvision 0.20.1+cu124
tqdm 4.67.1
transformers 4.47.1
typer 0.15.1
typing_extensions 4.12.2
tzdata 2024.2
urllib3 2.2.3
uvicorn 0.34.0
websockets 14.1
wheel 0.45.1
zipp 3.21.0