Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use kabachuha/maxwell-the-cat-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kabachuha/maxwell-the-cat-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kabachuha/maxwell-the-cat-diffusion", 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
- Draw Things
- DiffusionBee
- Xet hash:
- ae6ed898d4021ffc00a9209395c3c0df7ece50a3ff1a97220f45250c3c4e6b69
- Size of remote file:
- 492 MB
- SHA256:
- c8b889f060df6f663963deae0f0cc5d2810e4fc09ecdea2402b4743c756721f5
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