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MangaNinja logs
Raw
conda list
# packages in environment at /home/lta/venvs/conda/envs/MangaNinjia:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
_openmp_mutex 5.1 1_gnu
accelerate 0.31.0 pypi_0 pypi
addict 2.4.0 pypi_0 pypi
aiofiles 23.2.1 pypi_0 pypi
annotated-types 0.7.0 pypi_0 pypi
antlr4-python3-runtime 4.9.3 pypi_0 pypi
anyio 4.8.0 pypi_0 pypi
asttokens 3.0.0 pypi_0 pypi
basicsr 1.3.5 pypi_0 pypi
bzip2 1.0.8 h5eee18b_6
ca-certificates 2024.12.31 h06a4308_0
click 8.1.8 pypi_0 pypi
comm 0.2.2 pypi_0 pypi
contourpy 1.3.1 pypi_0 pypi
cycler 0.12.1 pypi_0 pypi
decorator 5.1.1 pypi_0 pypi
diffusers 0.27.2 pypi_0 pypi
einops 0.8.0 pypi_0 pypi
exceptiongroup 1.2.2 pypi_0 pypi
executing 2.1.0 pypi_0 pypi
fastapi 0.115.6 pypi_0 pypi
ffmpy 0.5.0 pypi_0 pypi
filelock 3.16.1 pypi_0 pypi
fonttools 4.55.3 pypi_0 pypi
future 1.0.0 pypi_0 pypi
gradio 3.39.0 pypi_0 pypi
gradio-client 1.3.0 pypi_0 pypi
h11 0.14.0 pypi_0 pypi
h5py 3.11.0 pypi_0 pypi
httpcore 1.0.7 pypi_0 pypi
httpx 0.28.1 pypi_0 pypi
huggingface-hub 0.24.6 pypi_0 pypi
imageio 2.35.1 pypi_0 pypi
imageio-ffmpeg 0.5.1 pypi_0 pypi
importlib-metadata 8.4.0 pypi_0 pypi
importlib-resources 6.4.5 pypi_0 pypi
ipdb 0.13.13 pypi_0 pypi
ipython 8.26.0 pypi_0 pypi
ipywidgets 8.1.5 pypi_0 pypi
jedi 0.19.2 pypi_0 pypi
jinja2 3.1.5 pypi_0 pypi
joblib 1.4.2 pypi_0 pypi
jupyterlab-widgets 3.0.13 pypi_0 pypi
kiwisolver 1.4.8 pypi_0 pypi
kornia 0.7.3 pypi_0 pypi
kornia-rs 0.1.5 pypi_0 pypi
lazy-loader 0.4 pypi_0 pypi
ld_impl_linux-64 2.40 h12ee557_0
libffi 3.4.4 h6a678d5_1
libgcc-ng 11.2.0 h1234567_1
libgomp 11.2.0 h1234567_1
libstdcxx-ng 11.2.0 h1234567_1
libuuid 1.41.5 h5eee18b_0
linkify-it-py 2.0.3 pypi_0 pypi
lmdb 1.6.2 pypi_0 pypi
markdown-it-py 2.2.0 pypi_0 pypi
markupsafe 2.1.5 pypi_0 pypi
matplotlib 3.10.0 pypi_0 pypi
matplotlib-inline 0.1.7 pypi_0 pypi
mdit-py-plugins 0.3.3 pypi_0 pypi
mpmath 1.3.0 pypi_0 pypi
ncurses 6.4 h6a678d5_0
networkx 3.4.2 pypi_0 pypi
numpy 1.26.4 pypi_0 pypi
nvidia-cublas-cu12 12.1.3.1 pypi_0 pypi
nvidia-cuda-cupti-cu12 12.1.105 pypi_0 pypi
nvidia-cuda-nvrtc-cu12 12.1.105 pypi_0 pypi
nvidia-cuda-runtime-cu12 12.1.105 pypi_0 pypi
nvidia-cudnn-cu12 8.9.2.26 pypi_0 pypi
nvidia-cufft-cu12 11.0.2.54 pypi_0 pypi
nvidia-curand-cu12 10.3.2.106 pypi_0 pypi
nvidia-cusolver-cu12 11.4.5.107 pypi_0 pypi
nvidia-cusparse-cu12 12.1.0.106 pypi_0 pypi
nvidia-nccl-cu12 2.20.5 pypi_0 pypi
nvidia-nvjitlink-cu12 12.6.85 pypi_0 pypi
nvidia-nvtx-cu12 12.1.105 pypi_0 pypi
omegaconf 2.3.0 pypi_0 pypi
opencv-python 4.10.0.84 pypi_0 pypi
openssl 3.0.15 h5eee18b_0
orjson 3.10.14 pypi_0 pypi
pandas 2.2.2 pypi_0 pypi
parso 0.8.4 pypi_0 pypi
pexpect 4.9.0 pypi_0 pypi
pillow 10.4.0 pypi_0 pypi
pip 24.2 py310h06a4308_0
platformdirs 4.3.6 pypi_0 pypi
prompt-toolkit 3.0.48 pypi_0 pypi
ptyprocess 0.7.0 pypi_0 pypi
pure-eval 0.2.3 pypi_0 pypi
pydantic 2.10.5 pypi_0 pypi
pydantic-core 2.27.2 pypi_0 pypi
pydub 0.25.1 pypi_0 pypi
pyparsing 3.2.1 pypi_0 pypi
python 3.10.14 h955ad1f_1
python-multipart 0.0.20 pypi_0 pypi
pyyaml 6.0.2 pypi_0 pypi
readline 8.2 h5eee18b_0
scikit-image 0.24.0 pypi_0 pypi
scikit-learn 1.5.2 pypi_0 pypi
scipy 1.14.1 pypi_0 pypi
semantic-version 2.10.0 pypi_0 pypi
setuptools 75.1.0 py310h06a4308_0
six 1.17.0 pypi_0 pypi
sniffio 1.3.1 pypi_0 pypi
sqlite 3.45.3 h5eee18b_0
stack-data 0.6.3 pypi_0 pypi
starlette 0.41.3 pypi_0 pypi
sympy 1.13.3 pypi_0 pypi
tb-nightly 2.19.0a20250116 pypi_0 pypi
threadpoolctl 3.5.0 pypi_0 pypi
tifffile 2025.1.10 pypi_0 pypi
tk 8.6.14 h39e8969_0
tomli 2.2.1 pypi_0 pypi
torch 2.3.0 pypi_0 pypi
torchaudio 2.3.0 pypi_0 pypi
torchmetrics 1.4.1 pypi_0 pypi
torchvision 0.18.0 pypi_0 pypi
traitlets 5.14.3 pypi_0 pypi
transformers 4.44.1 pypi_0 pypi
triton 2.3.0 pypi_0 pypi
typing-extensions 4.12.2 pypi_0 pypi
tzdata 2024b h04d1e81_0
uc-micro-py 1.0.3 pypi_0 pypi
uvicorn 0.34.0 pypi_0 pypi
websockets 11.0.3 pypi_0 pypi
wheel 0.44.0 py310h06a4308_0
widgetsnbextension 4.0.13 pypi_0 pypi
xz 5.4.6 h5eee18b_1
yapf 0.43.0 pypi_0 pypi
zipp 3.21.0 pypi_0 pypi
zlib 1.2.13 h5eee18b_1
Raw
gradio logs
py run_gradio.py
/home/lta/.lta-private/venvs/conda/envs/MangaNinjia/lib/python3.10/site-packages/gradio_client/documentation.py:106: UserWarning: Could not get documentation group for <class 'gradio.mix.Parallel'>: No known documentation group for module 'gradio.mix'
warnings.warn(f"Could not get documentation group for {cls}: {exc}")
/home/lta/.lta-private/venvs/conda/envs/MangaNinjia/lib/python3.10/site-packages/gradio_client/documentation.py:106: UserWarning: Could not get documentation group for <class 'gradio.mix.Series'>: No known documentation group for module 'gradio.mix'
warnings.warn(f"Could not get documentation group for {cls}: {exc}")
/home/lta/.lta-private/venvs/conda/envs/MangaNinjia/lib/python3.10/site-packages/diffusers/models/dual_transformer_2d.py:20: FutureWarning: `DualTransformer2DModel` is deprecated and will be removed in version 0.29. Importing `DualTransformer2DModel` from `diffusers.models.dual_transformer_2d` is deprecated and this will be removed in a future version. Please use `from diffusers.models.transformers.dual_transformer_2d import DualTransformer2DModel`, instead.
deprecate("DualTransformer2DModel", "0.29", deprecation_message)
/home/lta/.lta-private/venvs/conda/envs/MangaNinjia/lib/python3.10/site-packages/diffusers/models/lora.py:306: FutureWarning: `LoRACompatibleConv` is deprecated and will be removed in version 1.0.0. Use of `LoRACompatibleConv` is deprecated. Please switch to PEFT backend by installing PEFT: `pip install peft`.
deprecate("LoRACompatibleConv", "1.0.0", deprecation_message)
Some weights of the model checkpoint at ./checkpoints/StableDiffusion were not used when initializing RefUNet2DConditionModel: ['conv_out.bias', 'conv_norm_out.bias', 'conv_out.weight', 'conv_norm_out.weight']
- This IS expected if you are initializing RefUNet2DConditionModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing RefUNet2DConditionModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
/home/lta/.lta-private/venvs/conda/envs/MangaNinjia/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
warnings.warn(
Running on local URL: http://0.0.0.0:7860
To create a public link, set `share=True` in `launch()`.
IMPORTANT: You are using gradio version 3.39.0, however version 4.44.1 is available, please upgrade.
--------
Inference batches: 0%| | 0/1 [00:00<?, ?it/s/home/lta/.lta-private/venvs/conda/envs/MangaNinjia/lib/python3.10/site-packages/diffusers/models/resnet.py:328: FutureWarning: `scale` is deprecated and will be removed in version 1.0.0. The `scale` argument is deprecated and will be ignored. Please remove it, as passing it will raise an error in the future. `scale` should directly be passed while calling the underlying pipeline component i.e., via `cross_attention_kwargs`.
deprecate("scale", "1.0.0", deprecation_message)
/home/lta/.lta-private/venvs/conda/envs/MangaNinjia/lib/python3.10/site-packages/diffusers/models/downsampling.py:136: FutureWarning: `scale` is deprecated and will be removed in version 1.0.0. The `scale` argument is deprecated and will be ignored. Please remove it, as passing it will raise an error in the future. `scale` should directly be passed while calling the underlying pipeline component i.e., via `cross_attention_kwargs`.
deprecate("scale", "1.0.0", deprecation_message)
/home/lta/.lta-private/venvs/conda/envs/MangaNinjia/lib/python3.10/site-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
return F.conv2d(input, weight, bias, self.stride,
/home/lta/.lta-private/venvs/conda/envs/MangaNinjia/lib/python3.10/site-packages/diffusers/models/upsampling.py:147: FutureWarning: `scale` is deprecated and will be removed in version 1.0.0. The `scale` argument is deprecated and will be ignored. Please remove it, as passing it will raise an error in the future. `scale` should directly be passed while calling the underlying pipeline component i.e., via `cross_attention_kwargs`.
deprecate("scale", "1.0.0", deprecation_message)
Inference batches: 0%| | 0/1 [00:00<?, ?it/s/home/lta/.lta-private/venvs/conda/envs/MangaNinjia/lib/python3.10/site-packages/diffusers/models/resnet.py:328: FutureWarning: `scale` is deprecated and will be removed in version 1.0.0. The `scale` argument is deprecated and will be ignored. Please remove it, as passing it will raise an error in the future. `scale` should directly be passed while calling the underlying pipeline component i.e., via `cross_attention_kwargs`.
deprecate("scale", "1.0.0", deprecation_message)
/home/lta/.lta-private/venvs/conda/envs/MangaNinjia/lib/python3.10/site-packages/diffusers/models/downsampling.py:136: FutureWarning: `scale` is deprecated and will be removed in version 1.0.0. The `scale` argument is deprecated and will be ignored. Please remove it, as passing it will raise an error in the future. `scale` should directly be passed while calling the underlying pipeline component i.e., via `cross_attention_kwargs`.
deprecate("scale", "1.0.0", deprecation_message)
/home/lta/.lta-private/venvs/conda/envs/MangaNinjia/lib/python3.10/site-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
return F.conv2d(input, weight, bias, self.stride,
/home/lta/.lta-private/venvs/conda/envs/MangaNinjia/lib/python3.10/site-packages/diffusers/models/upsampling.py:147: FutureWarning: `scale` is deprecated and will be removed in version 1.0.0. The `scale` argument is deprecated and will be ignored. Please remove it, as passing it will raise an error in the future. `scale` should directly be passed while calling the underlying pipeline component i.e., via `cross_attention_kwargs`.
deprecate("scale", "1.0.0", deprecation_message)
Raw
nvidia-smi
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 565.57.01 Driver Version: 565.57.01 CUDA Version: 12.7 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 4090 Off | 00000000:01:00.0 Off | Off |
| 0% 52C P8 14W / 450W | 22113MiB / 24564MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 1499 G /usr/lib/xorg/Xorg 4MiB |
| 0 N/A N/A 717998 C python3 12530MiB |
+-----------------------------------------------------------------------------------------+
Raw
Other relevant information
$> python -V
Python 3.10.14
$> lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description: Ubuntu 22.04.5 LTS
Release: 22.04
Codename: jammy
$> uname -a
Linux gtx 6.8.0-49-generic #49~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Nov 6 17:42:15 UTC 2 x86_64 x86_64 x86_64 GNU/Linux
$> tree checkpoints
checkpoints
├── MangaNinjia
│   ├── controlnet.pth
│   ├── denoising_unet.pth
│   ├── point_net.pth
│   ├── README.md
│   └── reference_unet.pth
├── models
│   ├── Annotators
│   │   └── sk_model.pth
│   ├── clip-vit-large-patch14
│   │   ├── config.json
│   │   ├── merges.txt
│   │   ├── model.safetensors
│   │   ├── preprocessor_config.json
│   │   ├── README.md
│   │   ├── special_tokens_map.json
│   │   ├── tokenizer_config.json
│   │   ├── tokenizer.json
│   │   └── vocab.json
│   └── control_v11p_sd15_lineart
│   ├── config.json
│   ├── control_net_lineart.py
│   ├── diffusion_pytorch_model.bin
│   ├── diffusion_pytorch_model.fp16.bin
│   ├── diffusion_pytorch_model.fp16.safetensors
│   ├── images
│   │   ├── control.png
│   │   ├── image_out.png
│   │   └── input.png
│   └── README.md
└── StableDiffusion
├── feature_extractor
│   └── preprocessor_config.json
├── model_index.json
├── README.md
├── safety_checker
│   ├── config.json
│   ├── model.fp16.safetensors
│   ├── pytorch_model.bin
│   └── pytorch_model.fp16.bin
├── scheduler
│   └── scheduler_config.json
├── text_encoder
│   ├── config.json
│   ├── model.fp16.safetensors
│   ├── pytorch_model.bin
│   └── pytorch_model.fp16.bin
├── tokenizer
│   ├── merges.txt
│   ├── special_tokens_map.json
│   ├── tokenizer_config.json
│   └── vocab.json
├── unet
│   ├── config.json
│   ├── diffusion_pytorch_model.bin
│   ├── diffusion_pytorch_model.fp16.bin
│   ├── diffusion_pytorch_model.fp16.safetensors
│   └── diffusion_pytorch_model.non_ema.bin
├── v1-inference.yaml
└── vae
├── config.json
├── diffusion_pytorch_model.bin
├── diffusion_pytorch_model.fp16.bin
└── diffusion_pytorch_model.fp16.safetensors
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