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:
- b701a9e2c8c9001c62a88a2a48795b8aa3169b4ba274bf52528e874f07edebc0
- Size of remote file:
- 76.7 MB
- SHA256:
- 05ab4f594455e9c2c273e5dada74f22737866168e244053e9a4faf5fbed1d919
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