Instructions to use try1ereer/thickcum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use try1ereer/thickcum with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2.1-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("try1ereer/thickcum") prompt = "cum shoots from a penis. cum on face. cum on tongue. cum in mouth. static camera." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from try1ereer/thickcum: direct link, hf CLI and curl.
- Browser
- Download file 653 Bytes
-
https://huggingface.co/try1ereer/thickcum/resolve/main/README.md
- Command line
-
hf download hf://try1ereer/thickcum/README.md
-
curl -L -o README.md https://huggingface.co/try1ereer/thickcum/resolve/main/README.md
653 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/videoframe_1090.png
text: >-
cum shoots from a penis. cum on face. cum on tongue. cum in mouth. static
camera.
base_model: Qwen/Qwen-Image-2.1-Turbo
instance_prompt: >-
cum shoots from a penis cum on {face|tongue} cum in mouth {static|handheld}
camera
thicum

- Prompt
- cum shoots from a penis. cum on face. cum on tongue. cum in mouth. static camera.
Trigger words
You should use cum shoots from a penis cum on {face|tongue} cum in mouth {static|handheld} camera to trigger the image generation.
Download model
Download them in the Files & versions tab.