Instructions to use anshudaur/cat_model_small_lr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anshudaur/cat_model_small_lr 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/cat_model_small_lr", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- d75a07527845ba07e0a6350f6873ffae8fa0873c8bf17a59f2c1ca094ab29669
- Size of remote file:
- 76.7 MB
- SHA256:
- 6dd53ce62dfdc23e8688554a5ec9fdedefd0b3ba36fae8a5aac239f38d380151
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