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lvladikov
/
Krea2-Turbo-Distill-2step-LoRA

Text-to-Image
Diffusers
lora
distillation
step-distillation
distribution-matching
krea-2
Model card Files Files and versions
xet
Community
8

Instructions to use lvladikov/Krea2-Turbo-Distill-2step-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use lvladikov/Krea2-Turbo-Distill-2step-LoRA with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("lvladikov/Krea2-Turbo-Distill-2step-LoRA")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Krea2-Turbo-Distill-2step-LoRA
5.26 GB
Ctrl+K
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  • 1 contributor
History: 64 commits
lvladikov's picture
lvladikov
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  • DETAILED-README.md
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  • LICENSE.pdf
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  • NOTICE.txt
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  • README.md
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    chk41320 release 3 days ago
  • krea2_turbo_2step_lora_t2i.json
    9.43 kB
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  • krea2_turbo_2step_rank_64_lora.safetensors
    438 MB
    xet
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  • krea2_turbo_2step_rank_64_lora_checkpoint_info.md
    807 Bytes
    chk41320 release 3 days ago
  • krea2_turbo_2step_rank_64_lora_comfyui.safetensors
    438 MB
    xet
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