Instructions to use zhangj1an/AudioX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhangj1an/AudioX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zhangj1an/AudioX", torch_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
Add Diffusers vae layout: config.json + encoder/decoder safetensors for AutoencoderOobleck.from_pretrained
Browse files- vae/config.json +23 -0
- vae/diffusion_pytorch_model.safetensors +2 -2
vae/config.json
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{
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"_class_name": "AutoencoderOobleck",
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"_diffusers_version": "0.37.1",
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"audio_channels": 2,
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"channel_multiples": [
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],
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"decoder_channels": 128,
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"decoder_input_channels": 64,
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"downsampling_ratios": [
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],
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"encoder_hidden_size": 128,
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"sampling_rate": 44100
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}
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vae/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:d73619a1d1e1dc48e606632931ffce440b4959ce2a4ed5a3522c3bb573b103be
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size 624490208
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