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
| 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) | |