Instructions to use cutycat2000x/InterDiffusion-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cutycat2000x/InterDiffusion-3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cutycat2000x/InterDiffusion-3", 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
File size: 439 Bytes
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license: mit
library_name: diffusers
pipeline_tag: text-to-image
datasets:
- wanng/midjourney-v5-202304-clean
- ShoukanLabs/LAION-DallE-3-Local
- kakaobrain/coyo-700m
- YaYaB/onepiece-blip-captions
tags:
- diffusion
- free
- freeai
- ai
- interdiffusion
---
# InterDiffusion-3
- Size: 6.9 GB
- Text: Partly
- Prompt: 150 words - sentences
- Base: InterDiffusion-2.5
- Demo: [https://discord.gg/De3kaaGk](https://discord.gg/De3kaaGk)
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