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UmeAiRT
/
ComfyUI-Auto-Installer-Assets

Diffusers
ONNX
Safetensors
GGUF
comfyui
models
flux
wan
qwen
hidream
ltxv
Model card Files Files and versions
xet
Community
19

Instructions to use UmeAiRT/ComfyUI-Auto-Installer-Assets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use UmeAiRT/ComfyUI-Auto-Installer-Assets with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("UmeAiRT/ComfyUI-Auto-Installer-Assets", 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
ComfyUI-Auto-Installer-Assets / models /LLM /Florence-2-base-PromptGen-v2.0
1.09 GB
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  • 1 contributor
History: 3 commits
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UmeAiRT
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  • .gitattributes
    1.52 kB
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  • README.md
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  • added_tokens.json
    22.4 kB
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  • config.json
    3.83 kB
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  • configuration_florence2.py
    15.1 kB
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  • generation_config.json
    292 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    1.08 GB
    xet
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  • modeling_florence2.py
    127 kB
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  • preprocessor_config.json
    603 Bytes
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  • processing_florence2.py
    46.4 kB
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  • put_checkpoints_here
    0 Bytes
    New model backend over 1 year ago
  • special_tokens_map.json
    147 kB
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  • tokenizer.json
    2.3 MB
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  • tokenizer_config.json
    198 kB
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  • vocab.json
    798 kB
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