Instructions to use InstantX/InstantID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/InstantID with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InstantX/InstantID", 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
pixelated glitchart of close-up of {subject}, ps2 playstation psx gamecube game gta, dreams screencapture, bryce 3d --style
Browse files
pixelated glitchart of close-up of {subject}, ps2 playstation psx gamecube game gta, dreams screencapture, bryce 3d --style
- README.md → Mele Vailolo +5 -1
README.md → Mele Vailolo
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language:
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- en
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library_name: diffusers
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pipeline_tag:
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---
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# InstantID Model Card
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language:
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- en
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library_name: diffusers
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pipeline_tag: image-to-image
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datasets:
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- microsoft/orca-math-word-problems-200k
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metrics:
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- accuracy
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---
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# InstantID Model Card
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