Instructions to use mathofdynamic/mamali-lora-03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mathofdynamic/mamali-lora-03 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mathofdynamic/mamali-lora-03", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
metadata
license: artistic-2.0
datasets:
- crystantine/fluxgym
language:
- en
metrics:
- accuracy
new_version: black-forest-labs/FLUX.1-dev
pipeline_tag: image-to-image
library_name: diffusers
tags:
- Lora