Instructions to use diesermo/pose-control-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diesermo/pose-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("diesermo/pose-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 image_control.png from diesermo/pose-control-lora: direct link, hf CLI and curl.
- Browser
- Download file 3.79 kB
-
https://huggingface.co/diesermo/pose-control-lora/resolve/main/image_control.png
- Command line
-
hf download hf://diesermo/pose-control-lora/image_control.png
-
curl -L -o image_control.png https://huggingface.co/diesermo/pose-control-lora/resolve/main/image_control.png
3.79 kB
