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Playtime-AI
/
MM-H3-Amazon_Position_BETA

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

Instructions to use Playtime-AI/MM-H3-Amazon_Position_BETA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Playtime-AI/MM-H3-Amazon_Position_BETA with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("MiniMaxAI/MiniMax-H3", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Playtime-AI/MM-H3-Amazon_Position_BETA")
    
    prompt = "A 10-second 16:9 cinematic shot. integrated_multimodal_description: [Shot 1] Live-action, cinematic, a medium shot frames a naked woman and a naked man on a bed in a softly lit bedroom. She fucks him in the amazon position. She kneels between his raised legs, gripping his thighs firmly and holding them up and apart as she drives her hips forward in a steady, controlled rhythm. Her body rocks with each thrust, her breasts moving with the motion while her hands keep his legs elevated. The man lies on his back beneath her, his legs held high, his torso visible as their bodies connect. Warm practical lamp light casts soft highlights across their skin and gentle shadows along the curves of her hips and his raised legs. The camera holds static with shallow depth of field, keeping sharp focus on their bodies and the explicit motion.  overall_soundscape: Wet sex sounds, rhythmic skin-on-skin contact, her steady breathing and soft moans, his deeper breaths, quiet bedroom ambience.  non_diegetic_music: N/A"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
MM-H3-Amazon_Position_BETA
170 MB
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  • 1 contributor
History: 4 commits
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Playtime-AI
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