Instructions to use yur1xfd/a3d_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yur1xfd/a3d_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ckpt/In-Context-LoRA", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("yur1xfd/a3d_lora") prompt = "This is a four-panel image which illustrates a pair of geometrically aligned objects in front and back side views. The [TOP-LEFT] shows a <cat animal> from the front side view. The [TOP-RIGHT] shows the same <cat animal> from the back side view. The [BOTTOM-LEFT] shows a <dog animal> from the front side view. The [BOTTOM-RIGHT] shows the same <dog animal> from the front side view." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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a3d_lora_v2.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a2a8366556814ba50ede86ba93bac7ea3b5876bd8756bb352fdf480ede00ce2
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size 171969352
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images/photo_2025-05-21_13-47-59.jpg
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Git LFS Details
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