Instructions to use Jonjew/TeriWeigel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/TeriWeigel 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("Jonjew/TeriWeigel") prompt = "SFW, brightly lit, young, black hair, The image is a portrait of a woman standing in front of a futuristic background. She is wearing a white bodysuit with black accents on the sleeves and chest. The bodysuits have a high neckline and long sleeves. The woman has e hair styled in a sleek updo and is looking directly at the camera with a serious expression. The background has a circular pattern with orange and yellow lights. The overall mood of the image is futuristic and futuristic., aidmaimageupgrader<lora:flux\\custom\\celebrity\\teri-weigel.safetensors:1.1:1.1> <lora:turbo-8-step-flux.safetensors:0.5:0.5> <lora:flux\\style\\Common\\aidmaImageUprader-FLUX-v0.3.safetensors:0.25:0.25>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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