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Yntec
/
mixRealisticFantasy

Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Fantasy Art
All
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet
Community
1

Instructions to use Yntec/mixRealisticFantasy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Yntec/mixRealisticFantasy with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Yntec/mixRealisticFantasy", 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
  • Draw Things
  • DiffusionBee
mixRealisticFantasy
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  • 1 contributor
History: 19 commits
Yntec's picture
Yntec
Update README.md
d920084 over 2 years ago
  • feature_extractor
    Adding `diffusers` weights of this model (#1) over 2 years ago
  • scheduler
    Update scheduler/scheduler_config.json over 2 years ago
  • text_encoder
    Adding `diffusers` weights of this model (#1) over 2 years ago
  • tokenizer
    Adding `diffusers` weights of this model (#1) over 2 years ago
  • unet
    Adding `diffusers` weights of this model (#1) over 2 years ago
  • vae
    Adding `diffusers` weights of this model (#1) over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    985 Bytes
    Update README.md over 2 years ago
  • mixRealisticFantasy_v14.safetensors
    4.1 GB
    xet
    file over 2 years ago
  • model_index.json
    552 Bytes
    Update model_index.json over 2 years ago