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longlian
/
lmd_plus

Text-to-Image
Diffusers
StableDiffusionPipeline
lmd
llm-grounded-diffusion
lmd-plus
layout-to-image
text-to-layout
text-to-layout-to-image
llm
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use longlian/lmd_plus with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("longlian/lmd_plus", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "In an indoor scene, a blue cube directly above a red cube with a vase on the left of them"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
lmd_plus
12.6 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Tony Lian
Initial commit
96828eb over 2 years ago
  • examples
    Initial commit over 2 years ago
  • feature_extractor
    Initial commit over 2 years ago
  • safety_checker
    Initial commit over 2 years ago
  • scheduler
    Initial commit over 2 years ago
  • text_encoder
    Initial commit over 2 years ago
  • tokenizer
    Initial commit over 2 years ago
  • unet
    Initial commit over 2 years ago
  • vae
    Initial commit over 2 years ago
  • .gitattributes
    1.48 kB
    Initial commit over 2 years ago
  • README.md
    3.22 kB
    Initial commit over 2 years ago
  • model_index.json
    543 Bytes
    Initial commit over 2 years ago
  • v1-variants-scores.jpg
    71.2 kB
    Initial commit over 2 years ago