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telcom
/
deewaiREALCN

Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
realistic
photorealistic
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use telcom/deewaiREALCN with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("telcom/deewaiREALCN", 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
deewaiREALCN
27.8 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 21 commits
telcom's picture
telcom
Update README.md
6f6fa8e verified 5 months ago
  • scheduler
    initial commit 5 months ago
  • text_encoder
    initial commit 5 months ago
  • text_encoder_2
    initial commit 5 months ago
  • tokenizer
    initial commit 5 months ago
  • tokenizer_2
    initial commit 5 months ago
  • unet
    initial commit 5 months ago
  • vae
    initial commit 5 months ago
  • .gitattributes
    1.57 kB
    Add training data via git-lfs 5 months ago
  • .gitignore
    144 Bytes
    training data pushed 5 months ago
  • README.md
    6.59 kB
    Update README.md 5 months ago
  • model_index.json
    712 Bytes
    initial commit 5 months ago