Instructions to use NeoLee/TestLora-SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NeoLee/TestLora-SDXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NeoLee/TestLora-SDXL") prompt = "A human painter is creating his future robotic form on a canvas, while within the painting, the robot is also painting the artist." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload 3 files
Browse files- Lora_Vxl.safetensors +3 -0
- model_desc.json +4 -0
- sd_xl_base_1.0_0.9vae.safetensors +3 -0
Lora_Vxl.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:08459ec1752c8ca19d9063b4bd186ab758db80a3d410433efb835f2967695113
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model_desc.json
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{
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"serving_type": "PytorchV1.13.1_ImageGeneration_SDXL_V1_Lora",
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"train_type": "network"
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}
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sd_xl_base_1.0_0.9vae.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e6bb9ea85bbf7bf6478a7c6d18b71246f22e95d41bcdd80ed40aa212c33cfeff
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size 6938078334
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