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
- Xet hash:
- 407ae97dcfa2dc23bad62d0a9927ed2d6194e611c17b4ee33c64b5cb47a57ec5
- Size of remote file:
- 359 MB
- SHA256:
- 9c8447e3f579bd15ee0ca19431b126d1c366227529a9bb9cf277f8b7d6b7ea9b
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