Text-to-Image
Diffusers
modular-diffusers
flux
flux1
flux2
flux3
multidiffusion
custom-code
custom_code
Instructions to use arlaz/modular-flux123-multidiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use arlaz/modular-flux123-multidiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("arlaz/modular-flux123-multidiffusion", dtype=torch.bfloat16, device_map="cuda") 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
Download examples/__init__.py from arlaz/modular-flux123-multidiffusion: direct link, hf CLI and curl.
- Browser
- Download file 45 Bytes
-
https://huggingface.co/arlaz/modular-flux123-multidiffusion/resolve/main/examples/__init__.py
- Command line
-
hf download hf://arlaz/modular-flux123-multidiffusion/examples/__init__.py
-
curl -L -o __init__.py https://huggingface.co/arlaz/modular-flux123-multidiffusion/resolve/main/examples/__init__.py
45 Bytes
| """Example runners for multidiff-modular.""" | |