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
- Draw Things
- DiffusionBee

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