Instructions to use benzg43/finn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use benzg43/finn with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("h94/IP-Adapter-FaceID", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("benzg43/finn") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: '-'
output:
url: images/399305127_1411122762805141_7161740892477401202_n.png
base_model: h94/IP-Adapter-FaceID
instance_prompt: null
license: apache-2.0
finn

- Prompt
- -
Download model
Download them in the Files & versions tab.