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Forost
/
grim-all-v3-zimage-lora

Text-to-Image
Diffusers
lora
z-image
ai-toolkit
Model card Files Files and versions
xet
Community

Instructions to use Forost/grim-all-v3-zimage-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Forost/grim-all-v3-zimage-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("Tongyi-MAI/Z-Image", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Forost/grim-all-v3-zimage-lora")
    
    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
grim-all-v3-zimage-lora
680 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Forost's picture
Forost
Document epoch 1 and epoch 2 weights
b68642d verified 10 days ago
  • training
    Add epoch 2 training config 10 days ago
  • .gitattributes
    1.52 kB
    initial commit 11 days ago
  • README.md
    1.65 kB
    Document epoch 1 and epoch 2 weights 10 days ago
  • grim_all_v3_zimage_lora_epoch1.safetensors
    340 MB
    xet
    Publish Z-Image LoRA after epoch 1 11 days ago
  • grim_all_v3_zimage_lora_epoch2.safetensors
    340 MB
    xet
    Publish Z-Image LoRA after epoch 2 10 days ago