Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/cat_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/cat_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/cat_2", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- 1720452194.0523767
- 1720452194.0633323
- 1720453877.6042676
- 1720453877.6066747
- 1720453908.6124496
- 1720453908.614472
- 1720453971.0499425
- 1720453971.0519967
- 1720453998.7327805
- 1720453998.735914
- 1720454028.8866026
- 1720454028.9149678
- 1720454059.975068
- 1720454059.9770563
- 1720454111.1045926
- 1720454111.1064603
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet