Instructions to use LK0608/cat-ppt-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LK0608/cat-ppt-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("LK0608/cat-ppt-model", 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 Settings
- Draw Things
- DiffusionBee
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Download README.md from LK0608/cat-ppt-model: direct link, hf CLI and curl.
- Browser
- Download file 2.47 kB
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https://huggingface.co/LK0608/cat-ppt-model/resolve/main/README.md
- Command line
-
hf download hf://LK0608/cat-ppt-model/README.md
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curl -L -o README.md https://huggingface.co/LK0608/cat-ppt-model/resolve/main/README.md
2.47 kB
metadata
license: creativeml-openrail-m
tags:
- text-to-image
cat_PPt_Model on Stable Diffusion via Dreambooth
model by LK0608
This your the Stable Diffusion model fine-tuned the cat_PPt_Model concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the instance_prompt: a photo of sks dog
You can also train your own concepts and upload them to the library by using this notebook.
And you can run your new concept via diffusers: Colab Notebook for Inference, Spaces with the Public Concepts loaded
Here are the images used for training this concept:

Here are the images generated by the original model:











