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
- Draw Things
- DiffusionBee
Commit ·
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Parent(s): f09a1a4
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README.md
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license: mit
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library_name: diffusers
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pipeline_tag: text-to-image
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---
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license: mit
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library_name: diffusers
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pipeline_tag: text-to-image
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datasets:
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- YaYaB/onepiece-blip-captions
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tags:
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- diffusion
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- free
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- freeai
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- ai
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- interdiffusion
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