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AlperKTS
/
Krea-2-SVDQuant-ComfyUI

Text-to-Image
Diffusers
image-generation
comfyui
quantization
int8
int4
svdquant
krea2
krea
diffusion
transformer
lowvram
Model card Files Files and versions
xet
Community

Instructions to use AlperKTS/Krea-2-SVDQuant-ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AlperKTS/Krea-2-SVDQuant-ComfyUI with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("AlperKTS/Krea-2-SVDQuant-ComfyUI", torch_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 Settings
  • Draw Things
  • DiffusionBee
Krea-2-SVDQuant-ComfyUI / calibration
13.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
AlperKTS's picture
AlperKTS
add base activation statistics (8 prompts, BF16 raw, 2.6M tokens/layer)
f461a45 verified 4 days ago
  • krea2_act_stats.safetensors
    6.67 MB
    xet
    Add calibration/krea2_act_stats.safetensors 5 days ago
  • krea2_act_stats_base.safetensors
    6.67 MB
    xet
    add base activation statistics (8 prompts, BF16 raw, 2.6M tokens/layer) 4 days ago