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LanguageBind
/
t2i_ablation_arch

Diffusers
Safetensors
Model card Files Files and versions
xet
Community

Instructions to use LanguageBind/t2i_ablation_arch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use LanguageBind/t2i_ablation_arch with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("LanguageBind/t2i_ablation_arch", 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
t2i_ablation_arch / postnorm /checkpoint-309125
6.77 GB
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  • 1 contributor
History: 4 commits
LanguageBind's picture
LanguageBind
Upload postnorm/checkpoint-309125/model_ema/diffusion_pytorch_model.safetensors with huggingface_hub
f9de078 verified about 1 year ago
  • model
    Upload postnorm/checkpoint-309125/model/config.json with huggingface_hub about 1 year ago
  • model_ema
    Upload postnorm/checkpoint-309125/model_ema/diffusion_pytorch_model.safetensors with huggingface_hub about 1 year ago