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
- Draw Things
- DiffusionBee
- Xet hash:
- a2e456f9b97dd403454f4e0fc5e8d107eb0990578411c2e648ccdd5dff4fc5d8
- Size of remote file:
- 10.3 GB
- SHA256:
- 5464ed11ffda7d95b05ff5207a8dc586c0767679ae35994ca8e062967890c483
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