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DeepBeepMeep
/
Wan2.2

Diffusers
Safetensors
Diffusion Single File
Model card Files Files and versions
xet
Community
2

Instructions to use DeepBeepMeep/Wan2.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use DeepBeepMeep/Wan2.2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("DeepBeepMeep/Wan2.2", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Diffusion Single File

    How to use DeepBeepMeep/Wan2.2 with Diffusion Single File:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
Wan2.2 / kiwi_mllm_encoder_instruct_reference
11.7 GB
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  • 1 contributor
History: 4 commits
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DeepBeepMeep
Upload instruct_reference_mllm_encoder_bf16.safetensors
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  • added_tokens.json
    605 Bytes
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  • chat_template.jinja
    1.02 kB
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  • config.json
    265 Bytes
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  • diffusion_pytorch_model.safetensors
    69.2 MB
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  • instruct_reference_mllm_encoder_bf16.safetensors
    7.51 GB
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    Upload instruct_reference_mllm_encoder_bf16.safetensors 2 months ago
  • instruct_reference_mllm_encoder_quanto_bf16_int8.safetensors
    4.11 GB
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    Upload instruct_reference_mllm_encoder_quanto_bf16_int8.safetensors 2 months ago
  • merges.txt
    1.67 MB
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  • mllm_encoder.py
    125 kB
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  • preprocessor_config.json
    829 Bytes
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  • qwen_config.json
    3.32 kB
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  • readme.txt
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    Create kiwi_mllm_encoder_instruct_reference/readme.txt 2 months ago
  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
    4.73 kB
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  • video_preprocessor_config.json
    913 Bytes
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  • vocab.json
    2.78 MB
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