Instructions to use DingDongBell/cute_cats with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DingDongBell/cute_cats with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DingDongBell/cute_cats") prompt = "Alex" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
cute cats

- Prompt
- Alex
- Negative Prompt
- dog

- Prompt
- John
- Negative Prompt
- dog

- Prompt
- Doe
- Negative Prompt
- dog

- Prompt
- Lilian
- Negative Prompt
- dog

- Prompt
- Steve
- Negative Prompt
- dog
Model description
Cute cats
Trigger words
You should use cute to trigger the image generation.
You should use cats to trigger the image generation.
You should use ding dong bell to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for DingDongBell/cute_cats
Base model
stabilityai/stable-diffusion-xl-base-1.0