Instructions to use cutycat2000/InterDiffusion-2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cutycat2000/InterDiffusion-2.5 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-2.5", 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:
- ShoukanLabs/LAION-DallE-3-Local
tags:
- diffusion
- free
- freeai
- ai
- interdiffusion
InterDiffusion-2.5
- Size: 6.5 GB
- Text: Partly
- Prompt: 70 words - sentences
- Base: InterDiffusion-2
- Demo: https://discord.gg/sCwc2vmbBy
Examples
Example 1
Prompt: a vivid image of a surreal landscape where the sky is a blend of colors, and floating islands are surrounded by mist
Example 2
Prompt: imaginative scene featuring a futuristic cityscape with towering skyscrapers, flying cars, and neon lights illuminating the night

