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fal
/
ideogram-v4-fast

Text-to-Image
Diffusers
Safetensors
image-generation
flow-matching
ideogram4
distillation
cfg-distillation
no-cfg
fast
20-step
fp4
nvfp4
quantization-aware-distillation
Model card Files Files and versions
xet
Community
1

Instructions to use fal/ideogram-v4-fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use fal/ideogram-v4-fast with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fal/ideogram-v4-fast", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee

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Preview of files found in this repository
  • config.json
    364 Bytes
    Duplicate from fal/ideogram-v4-fast-test about 1 month ago
  • diffusion_pytorch_model-00001-of-00004.safetensors
    4.98 GB
    xet
    Duplicate from fal/ideogram-v4-fast-test about 1 month ago
  • diffusion_pytorch_model-00002-of-00004.safetensors
    4.98 GB
    xet
    Duplicate from fal/ideogram-v4-fast-test about 1 month ago
  • diffusion_pytorch_model-00003-of-00004.safetensors
    4.97 GB
    xet
    Duplicate from fal/ideogram-v4-fast-test about 1 month ago
  • diffusion_pytorch_model-00004-of-00004.safetensors
    3.62 GB
    xet
    Duplicate from fal/ideogram-v4-fast-test about 1 month ago
  • diffusion_pytorch_model.safetensors.index.json
    48.9 kB
    Duplicate from fal/ideogram-v4-fast-test about 1 month ago