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BharathK333
/
MMFace-DiT-Models

Diffusers
Safetensors
Transformers
PyTorch
diffusion
image-generation
face-generation
cvpr2026
Model card Files Files and versions
xet
Community
1

Instructions to use BharathK333/MMFace-DiT-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use BharathK333/MMFace-DiT-Models with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("BharathK333/MMFace-DiT-Models", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Transformers

    How to use BharathK333/MMFace-DiT-Models with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("BharathK333/MMFace-DiT-Models", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MMFace-DiT-Models
61.8 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
BharathK333's picture
BharathK333
Update README.md
7054154 verified about 1 month ago
  • VAE
    Add files using upload-large-folder tool about 2 months ago
  • dit-unified-flux-vae-256-rfm
    Add files using upload-large-folder tool about 2 months ago
  • dit-unified-flux-vae-256
    Add files using upload-large-folder tool about 2 months ago
  • dit-unified-flux-vae-512-rfm
    Add files using upload-large-folder tool about 2 months ago
  • stable-diffusion-2-1-base
    Add files using upload-large-folder tool about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    3.99 kB
    Update README.md about 1 month ago
  • config.json
    1.3 kB
    Add files using upload-large-folder tool about 2 months ago