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gfodor
/
Segmind-VegaRT-Fused

Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
lora
Model card Files Files and versions
xet
Community

Instructions to use gfodor/Segmind-VegaRT-Fused with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use gfodor/Segmind-VegaRT-Fused with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("segmind/Segmind-Vega", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("gfodor/Segmind-VegaRT-Fused")
    
    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
Segmind-VegaRT-Fused
8.39 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
gfodor's picture
gfodor
Add VegaRT merged
9ab228a over 2 years ago
  • scheduler
    Add VegaRT merged over 2 years ago
  • text_encoder
    Add VegaRT merged over 2 years ago
  • text_encoder_2
    Add VegaRT merged over 2 years ago
  • tokenizer
    Add VegaRT merged over 2 years ago
  • tokenizer_2
    Add VegaRT merged over 2 years ago
  • unet
    Add VegaRT merged over 2 years ago
  • vae
    Add VegaRT merged over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.37 kB
    Add VegaRT merged over 2 years ago
  • model_index.json
    707 Bytes
    Add VegaRT merged over 2 years ago