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SD2704
/
RDV4

Text-to-Image
Diffusers
Safetensors
FluxPipeline
flux
flux-dev
stable-diffusion
image-generation
Model card Files Files and versions
xet
Community

Instructions to use SD2704/RDV4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use SD2704/RDV4 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("SD2704/RDV4", 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
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
RDV4 / tokenizer
1.59 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
SamuelD27
Add complete FLUX pipeline components (scheduler, VAE, text encoders, tokenizers)
4102300 8 months ago
  • merges.txt
    525 kB
    Add complete FLUX pipeline components (scheduler, VAE, text encoders, tokenizers) 8 months ago
  • special_tokens_map.json
    588 Bytes
    Add complete FLUX pipeline components (scheduler, VAE, text encoders, tokenizers) 8 months ago
  • tokenizer_config.json
    705 Bytes
    Add complete FLUX pipeline components (scheduler, VAE, text encoders, tokenizers) 8 months ago
  • vocab.json
    1.06 MB
    Add complete FLUX pipeline components (scheduler, VAE, text encoders, tokenizers) 8 months ago