Instructions to use LandonAbundre/ErectMan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LandonAbundre/ErectMan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LandonAbundre/ErectMan") prompt = "<lora:Hyper-FLUX.1-dev-16steps-lora:0.125> <lora:Big_Cock_Flux_Dev_-_Cruz_Flesh:0.85>a completely naked man his big penis out and exposed standing confidently in a luxurious room" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
ErectMan

- Prompt
- <lora:Hyper-FLUX.1-dev-16steps-lora:0.125> <lora:Big_Cock_Flux_Dev_-_Cruz_Flesh:0.85>a completely naked man his big penis out and exposed standing confidently in a luxurious room
Model description
Start with Cfg ~0.8 and work your way down. LoRa strength 1 - 0.55, try something in the middle as a start
Flux works well with full sentences, use a combination of detailed sentences and tags. Penis is the style tag, then use, "a naked man"(this is an important tag), prompt, "erection" or "penis" if needed
I've found that this model will forget where penises go. "uncensored" or, "penis between legs" seems to cure this.
Trigger words
You should use penis to trigger the image generation.
You should use erection to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for LandonAbundre/ErectMan
Base model
black-forest-labs/FLUX.1-dev