Instructions to use Aswinajiraj/Personallora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aswinajiraj/Personallora 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("Aswinajiraj/Personallora") prompt = "a photo of Aswi person in a podcast studio, ultra realistic, cinematic light" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Personallora
Model description
This LoRA model is trained using Flux for realistic portrait generation of a South Indian AI podcaster avatar. Designed for use in storytelling, ASMR, and science explainers.
Trigger words
You should use a photo of Aswi person in a podcast studio, ultra realistic, cinematic light to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-portrait-trainer.
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