Instructions to use tera0711/controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tera0711/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("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tera0711/controlnet") prompt = "<lora:guiltyficial_reality-01:0.6> <lora:guiltyficial_reality-04:1> <lora:guiltyficial_reality_shape-10:0.6> <lora:add_detail:0.6> <lora:Such an Asian Skin Beauty:0.6><lora:Such an Asian Skin Beauty:0.6><lora:more_details:-0.1><lora:Change to RAW photo:1.3><lora:real_hair:1.4><lora:add_saturation:-1><lora:add_sharpness:0.0><lora:instagramstyle2:0.1>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 98235582a4440fdd3327ec7063005c2606e0deeab2ed9f87711965c0b9e4fa60
- Size of remote file:
- 158 MB
- SHA256:
- 1cb77fc0613369b66be1531cc452b823a4af7d87ee56956000a69fc39e3817ba
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