Instructions to use InstantX/FLUX.1-dev-Controlnet-Union with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/FLUX.1-dev-Controlnet-Union with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InstantX/FLUX.1-dev-Controlnet-Union", 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
Upload 2 files
Browse files- config.json +1 -0
- diffusion_pytorch_model.safetensors +2 -2
config.json
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{
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"_class_name": "FluxControlNetModel",
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"_diffusers_version": "0.30.0.dev0",
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"attention_head_dim": 128,
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"axes_dims_rope": [
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{
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"_class_name": "FluxControlNetModel",
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"_diffusers_version": "0.30.0.dev0",
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"_name_or_path": "/mnt/wangqixun/",
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"attention_head_dim": 128,
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"axes_dims_rope": [
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diffusion_pytorch_model.safetensors
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size 6603953920
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