Instructions to use LiveBetween2Buses/boots-correction-lora-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LiveBetween2Buses/boots-correction-lora-final with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AH123123/QWEN_Image_Edit_2511", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LiveBetween2Buses/boots-correction-lora-final") prompt = "b00tx" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/007.jpg | |
| text: b00tx | |
| - output: | |
| url: images/1 Boot_white.png | |
| text: b00tx | |
| base_model: AH123123/QWEN_Image_Edit_2511 | |
| instance_prompt: b00tx | |
| license: mit | |
| # Qwen Image Edit 2511 LoRA | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `b00tx` to trigger the image generation. | |
| ## Download model | |
| [Download](/LiveBetween2Buses/boots-correction-lora-final/tree/main) them in the Files & versions tab. | |