Instructions to use f5aiteam/Controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use f5aiteam/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("f5aiteam/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
Commit History
-
Upload controlnet-tile-sdxl-1.0.safetensors
Verified signatureautomatic1111.git\app\models\ControlNeta82e349
-
Upload 27 files
Verified signature\automatic1111\extensions\sd-webui-controlnet\modelse9cc34f -
Upload 10 files
Verified signature\automatic1111\extensions\sd-webui-controlnet\models4b01e02 -
Upload 41 files
Verified signature\automatic1111\extensions\sd-webui-controlnet\modelsf89b50e
-
Create README.md
Verified signature3068166 -
Upload 2 files
Verified signature\comfy\models\controlnet790c8e7 -
initial commit
Verified signature3371272