Instructions to use ItBitter/civitaiprompts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ItBitter/civitaiprompts with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="ItBitter/civitaiprompts",
	filename="qwen2.5-1.5B-civitai-nsfw-v1/qwen2.5-1.5B-civitai-nsfw-v1-BF16.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use ItBitter/civitaiprompts with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf ItBitter/civitaiprompts:BF16
# Run inference directly in the terminal:
llama-cli -hf ItBitter/civitaiprompts:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf ItBitter/civitaiprompts:BF16
# Run inference directly in the terminal:
llama-cli -hf ItBitter/civitaiprompts:BF16

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf ItBitter/civitaiprompts:BF16
# Run inference directly in the terminal:
./llama-cli -hf ItBitter/civitaiprompts:BF16

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf ItBitter/civitaiprompts:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ItBitter/civitaiprompts:BF16

Use Docker

docker model run hf.co/ItBitter/civitaiprompts:BF16

LM Studio
Jan
Ollama
How to use ItBitter/civitaiprompts with Ollama:
```
ollama run hf.co/ItBitter/civitaiprompts:BF16
```

Unsloth Studio new

How to use ItBitter/civitaiprompts with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ItBitter/civitaiprompts to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ItBitter/civitaiprompts to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ItBitter/civitaiprompts to start chatting

Docker Model Runner
How to use ItBitter/civitaiprompts with Docker Model Runner:
```
docker model run hf.co/ItBitter/civitaiprompts:BF16
```

Lemonade

How to use ItBitter/civitaiprompts with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ItBitter/civitaiprompts:BF16

Run and chat with the model

lemonade run user.civitaiprompts-BF16

List all available models

lemonade list

These are based models trained on Civitai top uncensored prompts that is used by telegram bot @goonspromptbot by goonsai.com Video generation

It is a combination of an abliterated model which makes it totally uncensored and then trained on the specific task to write image or video generation prompts.

Help

This is a Completion style model. Meaning you need provide a few words of what you need and the model will try to complete with as much information as possible. Depending on the interface you use, you could improve it with a template though not required.

Example

a woman dancing in swimsuit then you will get the rest of the prompt.

quality, high resolution, elegant pose, shimmering lighting, beach setting, tropical breeze, smooth motion, round belly, long legs, head tilted slightly to one side, eyes closed gently, smile on face, water droplets on skin

You can roll the dice on output or you can follow up to refine it. Don’t be worried about strange formatting as long as the keywords are there. The models dont care about grammer, its about tokens.
You can always edit the template for this Modefile and you can join the discord Discord Channel

Limitations

There are situations when the model will spit out trigger w0rds and LoRA names of what could be deleted LoRAs. Note that the default model already includes a simple system message so if you dont provide one, it will still work. The existing template is included in modelfiles so you can adapt the template for image generation or video.

Models are updated regularly with more training data

Issues

Qwen3 model is experimental and for development only. Likely you do not need it.
The default template assumes you are generating video. You have to create your own system prompt if you want to generate images.

FAQ

Can it generate prompt from images / videos, i.e. video/image -> text ? No. Until I train a vision model that is not possible.
It does not work with XYZ interface. I have added GGUF files in the model folder. I am not familiar with all the tools since I run this directly with Python code or Ollama for testing. I use OpenWebUI only because it is somewhat helpful in development and testing. Not really a resounding endorsement.

Support

r/goonsai

Models / Ollama

NSFW-small 10K model for older GPUs, might even work without GPU or a laptop one.
NSFW-Large 100K model for 8GB VRAM

Downloads last month: 3

GGUF

Model size

2B params

Architecture

qwen2

Hardware compatibility

16-bit

View +2 variants

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