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inclusionAI
/
Ming-flash-omni-2.0

Any-to-Any
Diffusers
ONNX
Safetensors
English
bailingmm_moe_v2_lite
custom_code
Model card Files Files and versions
xet
Community
11

Instructions to use inclusionAI/Ming-flash-omni-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use inclusionAI/Ming-flash-omni-2.0 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("inclusionAI/Ming-flash-omni-2.0", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
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Question about rope_scaling.factor (as null) in config.json

🀝 1
1
#11 opened 3 months ago by
Jonathan1909

Ming-flash-omni-2.0-GGUF or Support Llama.cpp ?

1
#10 opened 3 months ago by
Rebis

Is there a link to try out the voice function of this model?

πŸ€— 1
1
#9 opened 3 months ago by
pigceo

Could you provide the official NVFP4 version? Dear friend.

1
#6 opened 4 months ago by
win10

Any Chance of GGUF Quantizations?

πŸ‘ 6
2
#5 opened 4 months ago by
facehuggerfromspace

Video of Step-by-Step Review

πŸ€— 1
1
#4 opened 4 months ago by
fahdmirzac

vLLM inference

βž• 2
2
#3 opened 4 months ago by
orange0318
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