Instructions to use Hyeon2/riffusion-musiccaps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hyeon2/riffusion-musiccaps with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Hyeon2/riffusion-musiccaps", 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
full and half precision checkpoint models (#1)
Browse files- full and half precision checkpoint models (b84265635058870246244ac0dcee4ca9f1472367)
Co-authored-by: stephan <wedgeewoo@users.noreply.huggingface.co>
riffusion-musiccaps-half.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:769eacdecede252cdd6325cbb86725ab26b0862625215ab9464aaa43565ad6e8
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size 2132856622
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riffusion-musiccaps.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc00b6d81258c3a892ef39607fc45acddd86688a838f1b9d2ee5286ff0b9ddc1
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size 3851900398
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