Instructions to use AXERA-TECH/lcm-lora-sdv1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/lcm-lora-sdv1-5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/lcm-lora-sdv1-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_name": "lcm-lora-sdv1-5", | |
| "model_type": "image_generation", | |
| "is_image_generation": true, | |
| "target_chip": "ax650", | |
| "port": 8000, | |
| "server_timeout_ms": 300000, | |
| "image_model_dir": ".", | |
| "image_variants": [ | |
| { | |
| "id": "lcm-lora-sdv1-5-512x512", | |
| "dir": "models", | |
| "size": "512x512", | |
| "chip": "ax650", | |
| "supports_img2img": true | |
| }, | |
| { | |
| "id": "lcm-lora-sdv1-5-768x1024", | |
| "dir": "models_1024x768", | |
| "size": "768x1024", | |
| "chip": "ax650", | |
| "supports_img2img": false | |
| } | |
| ] | |
| } | |