Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

mlx-community
/
FlowUpscaler-bf16

Image-to-Image
MLX
flux2
latent-upscaling
super-resolution
rectified-flow
Model card Files Files and versions
xet
Community

Instructions to use mlx-community/FlowUpscaler-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use mlx-community/FlowUpscaler-bf16 with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    hf download mlx-community/FlowUpscaler-bf16 --local-dir FlowUpscaler-bf16
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
FlowUpscaler-bf16
119 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
xocialize's picture
xocialize
FlowUpscaler (TensorForger, Unlicense) converted to bf16
fcee1a4 verified 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • LICENSE
    1.21 kB
    FlowUpscaler (TensorForger, Unlicense) converted to bf16 2 days ago
  • README.md
    3.06 kB
    FlowUpscaler (TensorForger, Unlicense) converted to bf16 2 days ago
  • flow_upscaler.safetensors
    119 MB
    xet
    FlowUpscaler (TensorForger, Unlicense) converted to bf16 2 days ago