Instructions to use neuralvfx/LibreFlux-SAM-ControlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neuralvfx/LibreFlux-SAM-ControlNet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("neuralvfx/LibreFlux-SAM-ControlNet", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download examples/resized_house.png from neuralvfx/LibreFlux-SAM-ControlNet: direct link, hf CLI and curl.
- Browser
- Download file 1.56 MB
-
https://huggingface.co/neuralvfx/LibreFlux-SAM-ControlNet/resolve/main/examples/resized_house.png
- Command line
-
hf download hf://neuralvfx/LibreFlux-SAM-ControlNet/examples/resized_house.png
-
curl -L -o resized_house.png https://huggingface.co/neuralvfx/LibreFlux-SAM-ControlNet/resolve/main/examples/resized_house.png
1.56 MB

- Xet hash:
- 9f05950740d282482971d448f3119e89cd3238ef3184eb343ce6694453055ad5
- Size of remote file:
- 1.56 MB
- SHA256:
- 08e71a76b2ad624d82896932cce160e164d7f69e62080f8278aa334af5d44dca
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