Instructions to use VinitT/Flux.1_Lora-LightningMcQueen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VinitT/Flux.1_Lora-LightningMcQueen 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("VinitT/Flux.1_Lora-LightningMcQueen") prompt = "lightningmcqueen05, in black and blue color combination" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image2.webp from VinitT/Flux.1_Lora-LightningMcQueen: direct link, hf CLI and curl.
- Browser
- Download file 97.1 kB
-
https://huggingface.co/VinitT/Flux.1_Lora-LightningMcQueen/resolve/main/image2.webp
- Command line
-
hf download hf://VinitT/Flux.1_Lora-LightningMcQueen/image2.webp
-
curl -L -o image2.webp https://huggingface.co/VinitT/Flux.1_Lora-LightningMcQueen/resolve/main/image2.webp
97.1 kB
