Instructions to use EventDiffusion/normalmap_controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EventDiffusion/normalmap_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("EventDiffusion/normalmap_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
Download diffusion_pytorch_model.safetensors from EventDiffusion/normalmap_controlnet: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/EventDiffusion/normalmap_controlnet/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://EventDiffusion/normalmap_controlnet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/EventDiffusion/normalmap_controlnet/resolve/main/diffusion_pytorch_model.safetensors
1.45 GB
- Xet hash:
- 0d9269f510729262da33e08cbdc1ab220fc1302084abc61fbeaa9c98b24571b8
- Size of remote file:
- 1.45 GB
- SHA256:
- 3e2d5fc70206290333c7a4bcca77110936cd92653887664677402c25ef197cba
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