Instructions to use cutycat2000/InterDiffusion-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cutycat2000/InterDiffusion-2 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", 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
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Parent(s): a8201d9
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license: mit
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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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- kakaobrain/coyo-700m
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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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# InterDiffusion-2
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- Size: 1.1 GB
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- Text: Partly
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- Prompt: 70 words
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- Base: Stable Diffusion
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