Instructions to use tommycik/ControlNetHedFinal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tommycik/ControlNetHedFinal with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("tommycik/ControlNetHedFinal") pipe = StableDiffusionControlNetPipeline.from_pretrained( "black-forest-labs/FLUX.1-dev", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 482 Bytes
cd87eab | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"_class_name": "FluxControlNetModel",
"_diffusers_version": "0.35.1",
"_name_or_path": "Xlabs-AI/flux-controlnet-hed-diffusers",
"attention_head_dim": 128,
"axes_dims_rope": [
16,
56,
56
],
"conditioning_embedding_channels": 16,
"guidance_embeds": true,
"in_channels": 64,
"joint_attention_dim": 4096,
"num_attention_heads": 24,
"num_layers": 2,
"num_mode": null,
"num_single_layers": 0,
"patch_size": 2,
"pooled_projection_dim": 768
}
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