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
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: >- | |
| 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. | |
| parameters: | |
| negative_prompt: '-' | |
| output: | |
| url: images/photo_2025-05-21_13-47-59.jpg | |
| base_model: ckpt/In-Context-LoRA | |
| instance_prompt: null | |
| license: mit | |
| # a3d_lora | |
| <Gallery /> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/yur1xfd/a3d_lora/tree/main) them in the Files & versions tab. | |