Instructions to use steven-lf/klein-4b-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use steven-lf/klein-4b-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("steven-lf/klein-4b-test") prompt = "Letterfest Watercolour Action People Illustration" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| tags: | |
| - flux | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - fal | |
| base_model: undefined | |
| instance_prompt: Letterfest Watercolour Action People Illustration | |
| license: other | |
| # klein 4b test | |
| <Gallery /> | |
| ## Model description | |
| ## Trigger words | |
| You should use `Letterfest Watercolour Action People Illustration` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/steven-lf/klein-4b-test/tree/main) them in the Files & versions tab. | |
| ## Training at fal.ai | |
| Training was done using [fal.ai/models/fal-ai/flux-2-klein-4b-base-trainer](https://fal.ai/models/fal-ai/flux-2-klein-4b-base-trainer). | |