Instructions to use mkshing/lora-sdxl-3drendering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mkshing/lora-sdxl-3drendering with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mkshing/lora-sdxl-3drendering") prompt = "a dog in 3d rendering style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 531e9359fccac06f5ea0b3ee4b12d5699e14082474f329474515a66dab3b4076
- Size of remote file:
- 744 MB
- SHA256:
- 4bbcf94019ee3b7565a54e6bdb906353764704014dbed1c89867ab080a343c66
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