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ccc8
/
cctec

Text-to-Image
Diffusers
English
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stable-diffusion
lora
dalle-3
dalle
deepvision
template:sd-lora
openskyml
Model card Files Files and versions
xet
Community

Instructions to use ccc8/cctec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ccc8/cctec with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Lykon/dreamshaper-xl-lightning", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("ccc8/cctec")
    
    prompt = "real photo of landscape of sea, skyscape, island, masterpiece, sharp details, cinematic"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
cctec
685 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
ccc8's picture
ccc8
Update README.md
fa25849 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • Dall-e_3_0.3-v2.safetensors
    685 MB
    xet
    Upload Dall-e_3_0.3-v2.safetensors over 2 years ago
  • README.md
    1.18 kB
    Update README.md about 2 years ago