Image-to-Image
Diffusers
Safetensors
image-decomposition
layered-image-editing
diffusion
flux
lora
transparent-rgba
Instructions to use SynLayers/synlayers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SynLayers/synlayers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SynLayers/synlayers") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
File size: 3,832 Bytes
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channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h5eee18b_6
- ca-certificates=2025.7.15=h06a4308_0
- expat=2.7.1=h6a678d5_0
- 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
- libxcb=1.17.0=h9b100fa_0
- ncurses=6.5=h7934f7d_0
- openssl=3.0.17=h5eee18b_0
- pip=25.1=pyhc872135_2
- pthread-stubs=0.3=h0ce48e5_1
- python=3.10.18=h1a3bd86_0
- readline=8.3=hc2a1206_0
- sqlite=3.50.2=hb25bd0a_1
- tk=8.6.15=h54e0aa7_0
- xorg-libx11=1.8.12=h9b100fa_1
- xorg-libxau=1.0.12=h9b100fa_0
- xorg-libxdmcp=1.1.5=h9b100fa_0
- xorg-xorgproto=2024.1=h5eee18b_1
- xz=5.6.4=h5eee18b_1
- zlib=1.2.13=h5eee18b_1
- pip:
- absl-py==2.3.1
- accelerate==0.34.2
- addict==2.4.0
- aiohappyeyeballs==2.6.1
- aiohttp==3.12.15
- aiosignal==1.4.0
- annotated-types==0.7.0
- async-timeout==5.0.1
- attrs==25.3.0
- certifi==2025.8.3
- charset-normalizer==3.4.3
- click==8.2.1
- contourpy==1.3.2
- cycler==0.12.1
- datasets==2.20.0
- deepspeed==0.17.5
- diffusers==0.31.0
- dill==0.3.8
- docker-pycreds==0.4.0
- einops==0.8.0
- filelock==3.19.1
- fonttools==4.59.1
- frozenlist==1.7.0
- fsspec==2024.5.0
- gitdb==4.0.12
- gitpython==3.1.45
- grpcio==1.74.0
- hf-xet==1.1.8
- hjson==3.1.0
- huggingface-hub==0.34.4
- idna==3.10
- imageio==2.37.0
- importlib-metadata==8.7.0
- jinja2==3.1.6
- joblib==1.5.2
- kiwisolver==1.4.9
- lazy-loader==0.4
- markdown==3.9
- markdown-it-py==4.0.0
- markupsafe==3.0.2
- matplotlib==3.10.5
- mdurl==0.1.2
- mmengine==0.10.4
- mpmath==1.3.0
- msgpack==1.1.1
- multidict==6.6.4
- multiprocess==0.70.16
- networkx==3.4.2
- ninja==1.13.0
- numpy==2.2.6
- nvidia-cublas-cu12==12.1.3.1
- nvidia-cuda-cupti-cu12==12.1.105
- nvidia-cuda-nvrtc-cu12==12.1.105
- nvidia-cuda-runtime-cu12==12.1.105
- nvidia-cudnn-cu12==9.1.0.70
- nvidia-cufft-cu12==11.0.2.54
- nvidia-curand-cu12==10.3.2.106
- nvidia-cusolver-cu12==11.4.5.107
- nvidia-cusparse-cu12==12.1.0.106
- nvidia-ml-py==13.580.65
- nvidia-nccl-cu12==2.20.5
- nvidia-nvjitlink-cu12==12.9.86
- nvidia-nvtx-cu12==12.1.105
- opencv-python==4.12.0.88
- packaging==25.0
- pandas==2.3.2
- peft==0.12.0
- pillow==11.3.0
- platformdirs==4.3.8
- prodigyopt==1.0
- propcache==0.3.2
- protobuf==5.29.5
- psutil==7.0.0
- py-cpuinfo==9.0.0
- pyarrow==21.0.0
- pyarrow-hotfix==0.7
- pydantic==2.11.7
- pydantic-core==2.33.2
- pygments==2.19.2
- pyparsing==3.2.3
- python-dateutil==2.9.0.post0
- pytz==2025.2
- pyyaml==6.0.2
- regex==2025.7.34
- requests==2.32.5
- rich==14.1.0
- qwen-vl-utils==0.0.11
- safetensors==0.6.2
- scikit-image==0.25.2
- scikit-learn==1.7.2
- scipy==1.15.3
- sentencepiece==0.2.0
- sentry-sdk==2.35.0
- setproctitle==1.3.6
- setuptools==78.1.1
- six==1.17.0
- smmap==5.0.2
- sympy==1.14.0
- tensorboard==2.20.0
- tensorboard-data-server==0.7.2
- termcolor==3.1.0
- threadpoolctl==3.6.0
- tifffile==2025.5.10
- tokenizers==0.19.1
- tomli==2.2.1
- torch==2.4.0
- torchvision==0.19.0
- tqdm==4.67.1
- transformers==4.44.0
- triton==3.0.0
- typing-extensions==4.14.1
- typing-inspection==0.4.1
- tzdata==2025.2
- urllib3==2.5.0
- wandb==0.17.7
- werkzeug==3.1.3
- wheel==0.45.1
- xxhash==3.5.0
- yapf==0.43.0
- yarl==1.20.1
- zipp==3.23.0
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