Instructions to use lucid-eleven/Mong_FluxSchnell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lucid-eleven/Mong_FluxSchnell 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lucid-eleven/Mong_FluxSchnell") prompt = "mong jogging along the beach with shades and headphones and bling" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Mong Flux LoRA

- Prompt
- mong jogging along the beach with shades and headphones and bling
Model description
This LoRA is currently in beta
Trigger words
You should use mong to trigger the image generation.
Download model
Weights for this model are available in Safetensors,PyTorch format.
Download them in the Files & versions tab.
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Model tree for lucid-eleven/Mong_FluxSchnell
Base model
black-forest-labs/FLUX.1-schnell