Instructions to use ModelsLab/Obj-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ModelsLab/Obj-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ModelsLab/Obj-base", 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 automatic1111/vae/bria_a1111.safetensors from ModelsLab/Obj-base: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/ModelsLab/Obj-base/resolve/main/automatic1111/vae/bria_a1111.safetensors
- Command line
-
hf download hf://ModelsLab/Obj-base/automatic1111/vae/bria_a1111.safetensors
-
curl -L -o bria_a1111.safetensors https://huggingface.co/ModelsLab/Obj-base/resolve/main/automatic1111/vae/bria_a1111.safetensors
335 MB
- Xet hash:
- 905e1d469b40647720250e162592260f9b81d57a3b3334bb7c064ba3986fb742
- Size of remote file:
- 335 MB
- SHA256:
- 63aeecb90ff7bc1c115395962d3e803571385b61938377bc7089b36e81e92e2e
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