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

- Xet hash:
- c6abb5ddbaf5069ba81905f5d9bac54d8980d1f62bca0f8553de63fd62fac507
- Size of remote file:
- 149 kB
- SHA256:
- 8227ba7d8884869f9dc5d3b8950d248038c3dde6181aa45da743ac8651342362
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