Instructions to use cutycat2000/InterDiffusion-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cutycat2000/InterDiffusion-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cutycat2000/InterDiffusion-1", 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
metadata
license: mit
library_name: diffusers
pipeline_tag: text-to-image
datasets:
- YaYaB/onepiece-blip-captions
tags:
- diffusion
- free
- freeai
- ai
- interdiffusion
InterDiffusion-1
- Size: 198 MB
- Text: False
- Prompt: 15 words
- Base: Craiyon