Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anything V3
stable diffusion
stable diffusion diffusers
Instructions to use KawaiiApp/tomriddle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KawaiiApp/tomriddle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KawaiiApp/tomriddle", torch_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
- Xet hash:
- 430ed968e597f772ca4b1bcb28be37bb3cabf58b8f67854112f59d22d09a7c1a
- Size of remote file:
- 335 MB
- SHA256:
- 87b998b653a334cee7ec06738512573f4cf2b64f0ca118ef8edecd3f797b4d9d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.