Instructions to use XLabs-AI/flux-controlnet-collections with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XLabs-AI/flux-controlnet-collections with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XLabs-AI/flux-controlnet-collections", 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
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README.md
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To try our models, you have 2 options:
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1. Use main.py from our [official repo](https://github.com/XLabs-AI/x-flux)
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2. Use our custom nodes for ComfyUI and test it with provided workflows
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See examples how to launch our models:
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To try our models, you have 2 options:
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1. Use main.py from our [official repo](https://github.com/XLabs-AI/x-flux)
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2. Use our custom nodes for ComfyUI and test it with provided workflows (check out folder /workflows)
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See examples how to launch our models:
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