Instructions to use yeahjea/backpose_findingbcaption_data4_w2000px_ratio1by1_steps400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yeahjea/backpose_findingbcaption_data4_w2000px_ratio1by1_steps400 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("yeahjea/backpose_findingbcaption_data4_w2000px_ratio1by1_steps400") prompt = "Hendrik photograph" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K