Instructions to use vansonel/F-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vansonel/F-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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("vansonel/F-1") prompt = "Screenshot" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 353 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/截圖 2026-01-02 清晨7.06.54.png
text: Screenshot
base_model:
- black-forest-labs/FLUX.1-dev
instance_prompt: null
license: mit
---
# F-1
<Gallery />
## Download model
[Download](/vansonel/F-1/tree/main) them in the Files & versions tab. |