Instructions to use Harahan/MeanFlowNFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Harahan/MeanFlowNFT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Harahan/MeanFlowNFT") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| *.pt filter=lfs diff=lfs merge=lfs -text | |
| assets/algorithm.jpg filter=lfs diff=lfs merge=lfs -text | |
| assets/meanflownft_logo.jpg filter=lfs diff=lfs merge=lfs -text | |
| assets/results_sd35.png filter=lfs diff=lfs merge=lfs -text | |
| assets/results_wan.png filter=lfs diff=lfs merge=lfs -text | |
| assets/teaser.webp filter=lfs diff=lfs merge=lfs -text | |