Instructions to use aivibes9/tranzp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aivibes9/tranzp 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("aivibes9/tranzp") prompt = "bunny, tranzp <lora:tranzp-sdxl:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files
images/00072-2348533617.png
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Git LFS Details
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tranzp-sdxl (1).safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:05274fcc9b96065ab1ea90a0d65e13198583e88b8848a0bc75e07177b2ba1841
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