Instructions to use stablediffusionapi/brixel-brain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/brixel-brain with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/brixel-brain", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from stablediffusionapi/brixel-brain: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/stablediffusionapi/brixel-brain/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/brixel-brain/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/brixel-brain/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- cce42746bc6e9a32408b5137121025fd6680d42f029487ce6a1b09d47c2c9b96
- Size of remote file:
- 167 MB
- SHA256:
- 5e96dd6a64a3c3dea907785e3f49a6dfef813d3083a77016792fd117d7f06824
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