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 Settings
- Draw Things
- DiffusionBee
Download image_0.png from anshudaur/cat_model_small_lr: direct link, hf CLI and curl.
- Browser
- Download file 385 kB
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https://huggingface.co/anshudaur/cat_model_small_lr/resolve/main/image_0.png
- Command line
-
hf download hf://anshudaur/cat_model_small_lr/image_0.png
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curl -L -o image_0.png https://huggingface.co/anshudaur/cat_model_small_lr/resolve/main/image_0.png
385 kB
