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QuantFunc
/
LTX-2.5-QuantFunc-4bit

Text-to-Video
Diffusers
LTX2VideoPipeline
custom_ltx2
video-generation
image-to-video
audio-to-video
quantized
4-bit precision
int4
svdquant
ltx-2
ltx-2.5
quantfunc
Model card Files Files and versions
xet
Community

Instructions to use QuantFunc/LTX-2.5-QuantFunc-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use QuantFunc/LTX-2.5-QuantFunc-4bit with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("QuantFunc/LTX-2.5-QuantFunc-4bit", 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
LTX-2.5-QuantFunc-4bit
15.8 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
QuantFunc's picture
QuantFunc
Add ltx-2.5-22b-distilled-quantfunc-int4-r128.safetensors
b3ef9e8 verified 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    4.56 kB
    README: switch to English (user request) 2 days ago
  • config.json
    424 Bytes
    Add config.json 2 days ago
  • ltx-2.5-22b-distilled-quantfunc-int4-r128.safetensors
    15.8 GB
    xet
    Add ltx-2.5-22b-distilled-quantfunc-int4-r128.safetensors 2 days ago
  • model_index.json
    191 Bytes
    Add model_index.json 2 days ago