Instructions to use furusu/wd15_controlnet_identity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use furusu/wd15_controlnet_identity with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("furusu/wd15_controlnet_identity", 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
- Xet hash:
- 317dc6be10b97b53a8ddeb2b3c0785dc3daa78c3276b9b547c09671549be4642
- Size of remote file:
- 1.46 GB
- SHA256:
- 3740cc11dc951ec9985392e9003c22668d8eedfa622da714d93db24ccd243192
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