Instructions to use mrcuddle/male_climax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrcuddle/male_climax with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mrcuddle/male_climax") prompt = "score_9, score_8_up, score_7_up, BREAK, 0rg4s4m, orgasm face, male climax, male, strong, fit, sitting in a beach chair, boss, swimsuit, highly detailed, detailed skin, depth of field, film grain, <lora:orgasmpony:.65>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Male_CLimax

- Prompt
- score_9, score_8_up, score_7_up, BREAK, 0rg4s4m, orgasm face, male climax, male, strong, fit, sitting in a beach chair, boss, swimsuit, highly detailed, detailed skin, depth of field, film grain, <lora:orgasmpony:.65>
- Negative Prompt
- score_4, score_5, score_6
Trigger words
You should use 0rg4s4m to trigger the image generation.
You should use orgasm face to trigger the image generation.
You should use male climax to trigger the image generation.
You should use closed eyes to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for mrcuddle/male_climax
Base model
stabilityai/stable-diffusion-xl-base-1.0