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atMrMattV
/
Visione

Text-to-Image
Diffusers
ONNX
Safetensors
GGUF
English
art
agent
image-generation
video-generation
text-to-video
style-transfer
image-editing
tts
local-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use atMrMattV/Visione with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("atMrMattV/Visione", 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
  • Draw Things
  • DiffusionBee
Visione / models /kiwi-edit
20.4 GB
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  • 1 contributor
History: 4 commits
atMrMattV's picture
atMrMattV
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014c5ac verified 2 months ago
  • mllm_encoder
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  • processor
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  • ref_embedder
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  • scheduler
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  • source_embedder
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  • transformer
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  • vae
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  • .gitattributes
    1.58 kB
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  • README.md
    2.22 kB
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  • __init__.py
    168 Bytes
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  • conditional_embedder.py
    1.03 kB
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  • mllm_encoder.py
    125 kB
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  • model_index.json
    588 Bytes
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  • pipeline_kiwi_edit.py
    21.4 kB
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  • wan_video_vae.py
    52.8 kB
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