Instructions to use 1G1/model_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 1G1/model_1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("1G1/model_1") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: >- | |
| images/DreamShaper_v7_bugatti_chiron_car_gold_black_and_brown_color_f_0.jpg | |
| text: '-' | |
| - output: | |
| url: >- | |
| images/DreamShaper_v7_bugatti_chiron_car_gold_black_and_brown_color_f_1.jpg | |
| text: '-' | |
| base_model: Qwen/Qwen-Image | |
| instance_prompt: null | |
| license: unknown | |
| # model | |
| <Gallery /> | |
| ## Model description | |
| testing 1 model | |
| ## Download model | |
| [Download](/1G1/model_1/tree/main) them in the Files & versions tab. | |