Instructions to use neuralvfx/LibreFlux-IP-Adapter-SAM-ControlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neuralvfx/LibreFlux-IP-Adapter-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-IP-Adapter-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/ip_control_example.gif from neuralvfx/LibreFlux-IP-Adapter-SAM-ControlNet: direct link, hf CLI and curl.
- Browser
- Download file 1.75 MB
-
https://huggingface.co/neuralvfx/LibreFlux-IP-Adapter-SAM-ControlNet/resolve/ea3864be5295f465cba33a10842e037b9dce8ea2/examples/ip_control_example.gif
- Command line
-
hf download hf://neuralvfx/LibreFlux-IP-Adapter-SAM-ControlNet@ea3864be5295f465cba33a10842e037b9dce8ea2/examples/ip_control_example.gif
-
curl -L -o ip_control_example.gif https://huggingface.co/neuralvfx/LibreFlux-IP-Adapter-SAM-ControlNet/resolve/ea3864be5295f465cba33a10842e037b9dce8ea2/examples/ip_control_example.gif
1.75 MB

- Xet hash:
- 7baeabd5781ca366ecd5110f5b84cdaee3591f8322787cf5daf9d1f5ec981173
- Size of remote file:
- 1.75 MB
- SHA256:
- 8ed96c91f64c48d1bb14418e8c0e50968b09b77a672067bcfc2ba57fca4cb1a6
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