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Yntec
/
CinematicReality

Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Diffusers

    How to use Yntec/CinematicReality 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/CinematicReality", 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
CinematicReality
9.77 GB
Ctrl+K
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  • 2 contributors
History: 14 commits
Yntec's picture
Yntec
billymadison420's picture
billymadison420
UP (#2)
b386c53 verified about 2 years ago
  • feature_extractor
    Adding `diffusers` weights of this model (#1) almost 3 years ago
  • scheduler
    Adding `diffusers` weights of this model (#1) almost 3 years ago
  • text_encoder
    Adding `diffusers` weights of this model (#1) almost 3 years ago
  • tokenizer
    Adding `diffusers` weights of this model (#1) almost 3 years ago
  • unet
    Delete unet/diffusion_pytorch_model.bin almost 3 years ago
  • vae
    Adding `diffusers` weights of this model (#1) almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    250 Bytes
    UP (#2) about 2 years ago
  • cinematicReality_betav10.safetensors
    2.13 GB
    xet
    file almost 3 years ago
  • model_index.json
    544 Bytes
    Upload model_index.json almost 3 years ago