Instructions to use microsoft/vq-diffusion-ithq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use microsoft/vq-diffusion-ithq with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("microsoft/vq-diffusion-ithq", 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
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README.md
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```python
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#!pip install diffusers[torch]
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import torch
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from diffusers import VQDiffusionPipeline
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pipeline = VQDiffusionPipeline.from_pretrained("microsoft/vq-diffusion-ithq", torch_dtype=torch.float16)
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pipeline = pipeline.to("cuda")
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output = pipeline("teddy bear playing in the pool", truncation_rate=
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image = output.images[0]
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image.save("./teddy_bear.png")
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```python
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#!pip install diffusers[torch] transformers
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import torch
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from diffusers import VQDiffusionPipeline
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pipeline = VQDiffusionPipeline.from_pretrained("microsoft/vq-diffusion-ithq", torch_dtype=torch.float16)
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pipeline = pipeline.to("cuda")
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output = pipeline("teddy bear playing in the pool", truncation_rate=1.0)
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image = output.images[0]
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image.save("./teddy_bear.png")
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