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ayushtues
/
f5_tts

Diffusers
Safetensors
F5FlowPipeline
Model card Files Files and versions
xet
Community

Instructions to use ayushtues/f5_tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ayushtues/f5_tts with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ayushtues/f5_tts", 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
f5_tts
1.35 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
ayushtues's picture
ayushtues
Upload F5FlowPipeline
7abdb84 verified 4 months ago
  • conditioning_encoder
    Upload F5FlowPipeline 4 months ago
  • scheduler
    Upload F5FlowPipeline 4 months ago
  • transformer
    Upload F5FlowPipeline 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    5.16 kB
    Upload F5FlowPipeline 4 months ago
  • model_index.json
    401 Bytes
    Upload F5FlowPipeline 4 months ago
  • vocab_char_map.json
    36.8 kB
    Upload F5FlowPipeline 4 months ago