Instructions to use akos2/Matchbox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use akos2/Matchbox with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("akos2/Matchbox") prompt = "test" 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: | |
| - text: test | |
| output: | |
| url: >- | |
| images/neysalora4_beautiful_photographic_portrait_of_a_woman_with_blonde_hair___wearing_jedi_robes__leather_gloves___detailed__soft_lighting___shot_with_a_medium_format_camera_on_kodak_film_1431324869(1).png | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: vintage matchbox artwork | |
| license: apache-2.0 | |
| # Matchbox | |
| <Gallery /> | |
| ## Model description | |
| test 3 | |
| ## Trigger words | |
| You should use `vintage matchbox artwork` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/akos2/Matchbox/tree/main) them in the Files & versions tab. | |