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MohamedAcadys
/
PointConImageModelV2

Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Model card Files Files and versions
xet
Community

Instructions to use MohamedAcadys/PointConImageModelV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use MohamedAcadys/PointConImageModelV2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("MohamedAcadys/PointConImageModelV2", 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
PointConImageModelV2
60.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
MohamedAcadys's picture
MohamedAcadys
End of training
4d38de6 verified almost 2 years ago
  • checkpoint-1000
    End of training almost 2 years ago
  • checkpoint-1500
    End of training almost 2 years ago
  • checkpoint-2000
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  • checkpoint-500
    End of training almost 2 years ago
  • feature_extractor
    End of training almost 2 years ago
  • safety_checker
    End of training almost 2 years ago
  • scheduler
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  • text_encoder
    End of training almost 2 years ago
  • tokenizer
    End of training almost 2 years ago
  • unet
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  • vae
    End of training almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.98 kB
    End of training almost 2 years ago
  • model_index.json
    679 Bytes
    End of training almost 2 years ago
  • val_imgs_grid.png
    465 kB
    End of training almost 2 years ago