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
Upload folder using huggingface_hub
Browse files- SynLayers_ckpt/step_120000/adapter/optimizer.bin +3 -0
- SynLayers_ckpt/step_120000/adapter/pytorch_lora_weights.safetensors +3 -0
- SynLayers_ckpt/step_120000/adapter/scheduler.bin +3 -0
- SynLayers_ckpt/step_120000/layer_pe.pth +3 -0
- SynLayers_ckpt/step_120000/random_states_0.pkl +3 -0
- SynLayers_ckpt/step_120000/transformer/optimizer.bin +3 -0
- SynLayers_ckpt/step_120000/transformer/pytorch_lora_weights.safetensors +3 -0
- SynLayers_ckpt/step_120000/transformer/scheduler.bin +3 -0
SynLayers_ckpt/step_120000/adapter/optimizer.bin
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SynLayers_ckpt/step_120000/layer_pe.pth
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SynLayers_ckpt/step_120000/random_states_0.pkl
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size 13178
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SynLayers_ckpt/step_120000/transformer/optimizer.bin
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SynLayers_ckpt/step_120000/transformer/pytorch_lora_weights.safetensors
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oid sha256:b2c6089062099ee54d53a4221980c5ab561397281be1b6a27e752e1e69219367
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SynLayers_ckpt/step_120000/transformer/scheduler.bin
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oid sha256:3e292957ebec0c549a3aa082313a7f74fe8156ad7c95ea0d2505101cf3f32394
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size 1000
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