Instructions to use chrismasch/af1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chrismasch/af1 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("chrismasch/af1") prompt = "A photo of af1 with a low-top design and black swoosh logos on the sides in the style of af1. The shoes feature a clean, minimalist look with perforations on the toe box for breathability and white laces. The sole is white, with a textured pattern for traction, and \"AIR\" branding is embossed on the side of the midsole." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
af1

- Prompt
- A photo of af1 with a low-top design and black swoosh logos on the sides in the style of af1. The shoes feature a clean, minimalist look with perforations on the toe box for breathability and white laces. The sole is white, with a textured pattern for traction, and "AIR" branding is embossed on the side of the midsole.
Model description
LoRA for FLUX.1-dev trained on 6 high res images of white Nike Air Force 1 sneakers.
Trigger words
You should use af1 to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for chrismasch/af1
Base model
black-forest-labs/FLUX.1-dev