Instructions to use B4100/cmshtminimax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/cmshtminimax with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lynaNSFW/DaSiWa_MiniMax_H3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/cmshtminimax") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
H3CMSHT

- Prompt
- -
Model description
integrated_multimodal_description: [Shot 1] Live-action, cinematic, a tight close-up shot frames the face of a breathless young woman with dew-kissed skin and parted lips. The camera pulls out with small amplitude at slow speed as a thick, pearlescent stream of semen lands squarely across her cheek and nose, splashing with organic viscosity. Her eyes flutter in a mix of surprise and pleasure while the woman with a soft, trembling voice (S1) exhales a shaky, satisfied: [English] Oh... gods... [Shot 2] At 00:03.500, the camera cuts to an extreme close-up of her lips and chin; a heavy globule of cum slides slowly down her skin, trailing a glistening path of slime. She lets out a soft, wet moan (S1) that continues uninterrupted into the final second: [English] Mmhh...
overall_soundscape: The thick, rhythmic "splat" of fluid hitting skin, followed by the wet, sliding sound of semen dripping. Underneath, there is the heavy, synchronized breathing of a man and the soft, airy exhale of the woman.
non_diegetic_music: N/A
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Model tree for B4100/cmshtminimax
Base model
MiniMaxAI/MiniMax-H3