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Yntec
/
HyperRealism

Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photorealistic
Analog
Female
alexds9
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Diffusers

    How to use Yntec/HyperRealism 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/HyperRealism", 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
HyperRealism
8.7 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
Yntec's picture
Yntec
Update README.md
54ca502 verified about 2 years ago
  • feature_extractor
    Adding `diffusers` weights of this model (#1) about 2 years ago
  • scheduler
    Update scheduler/scheduler_config.json about 2 years ago
  • text_encoder
    Adding `diffusers` weights of this model (#1) about 2 years ago
  • tokenizer
    Adding `diffusers` weights of this model (#1) about 2 years ago
  • unet
    Adding `diffusers` weights of this model (#1) about 2 years ago
  • vae
    Adding `diffusers` weights of this model (#1) about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • Hyper_Realism_1.2_fp16.safetensors
    2.3 GB
    xet
    file about 2 years ago
  • README.md
    1.16 kB
    Update README.md about 2 years ago
  • model_index.json
    544 Bytes
    Update model_index.json about 2 years ago