Instructions to use Keltezaa/Mathilda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/Mathilda 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("Keltezaa/Mathilda") prompt = "Natalie Portman as Mathilda" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Natalie Portman as Mathilda
license: cc-by-nc-nd-4.0
Mathilda
Model description
Mathilda aka Natalie Portman
Trigger words
You should use Natalie Portman as Mathilda to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.