Instructions to use BreakpointAI/breaknet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BreakpointAI/breaknet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BreakpointAI/breaknet", 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 controlnet/diffusion_pytorch_model.safetensors from BreakpointAI/breaknet: direct link, hf CLI and curl.
- Browser
- Download file 5 GB
-
https://huggingface.co/BreakpointAI/breaknet/resolve/main/controlnet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://BreakpointAI/breaknet/controlnet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/BreakpointAI/breaknet/resolve/main/controlnet/diffusion_pytorch_model.safetensors
5 GB
- Xet hash:
- 1724832ae833b8c12694f4c0253010e1c4260a9eb3e13c42ea1fec1bcf51b6fc
- Size of remote file:
- 5 GB
- SHA256:
- d6be585dbd88f74d13b4d84049634e411b0e2b0d46d3accc4a159378c4c5ba1b
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