Instructions to use anshudaur/chair_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anshudaur/chair_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("anshudaur/chair_model", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> chair" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d6e3a314521d3c50e6580ba02dc97f61c15b738a94830b6476fd04bb50c9a0af
- Size of remote file:
- 457 MB
- SHA256:
- 123776c66833b2fc991a5bb194d04e1609683b04f52250d2837578fcced5081a
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