Instructions to use IsraelBenDavid/orientation-control-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IsraelBenDavid/orientation-control-lora 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("IsraelBenDavid/orientation-control-lora") 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_0.png from IsraelBenDavid/orientation-control-lora: direct link, hf CLI and curl.
- Browser
- Download file 456 kB
-
https://huggingface.co/IsraelBenDavid/orientation-control-lora/resolve/main/images_0.png
- Command line
-
hf download hf://IsraelBenDavid/orientation-control-lora/images_0.png
-
curl -L -o images_0.png https://huggingface.co/IsraelBenDavid/orientation-control-lora/resolve/main/images_0.png
456 kB

- Xet hash:
- bd4a5b33089662de2ce6df1ef5373f0f5426da3d45180f4c9e6e12a8a7f30724
- Size of remote file:
- 456 kB
- SHA256:
- f86d442ab8b761937c5bd2554c169a3ace8d56470a45419daabdf19716f83743
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.