Instructions to use khave/FLUX.1-dev-edit-v0-car-color-lora-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use khave/FLUX.1-dev-edit-v0-car-color-lora-final 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("khave/FLUX.1-dev-edit-v0-car-color-lora-final") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images_5.png from khave/FLUX.1-dev-edit-v0-car-color-lora-final: direct link, hf CLI and curl.
- Browser
- Download file 666 kB
-
https://huggingface.co/khave/FLUX.1-dev-edit-v0-car-color-lora-final/resolve/main/images_5.png
- Command line
-
hf download hf://khave/FLUX.1-dev-edit-v0-car-color-lora-final/images_5.png
-
curl -L -o images_5.png https://huggingface.co/khave/FLUX.1-dev-edit-v0-car-color-lora-final/resolve/main/images_5.png
666 kB

- Xet hash:
- edea2b9d819e38aa523df3bbe24c953153613282744739f833ddfa9213d82cc9
- Size of remote file:
- 666 kB
- SHA256:
- 0baf59e3568cad696ac7398d037c2bec973be92f3dbd73d7706c368f11193114
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.