Instructions to use QuantFactory/MagicPrompt-Stable-Diffusion-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use QuantFactory/MagicPrompt-Stable-Diffusion-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="QuantFactory/MagicPrompt-Stable-Diffusion-GGUF",
	filename="MagicPrompt-Stable-Diffusion.Q2_K.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 QuantFactory/MagicPrompt-Stable-Diffusion-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf QuantFactory/MagicPrompt-Stable-Diffusion-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/MagicPrompt-Stable-Diffusion-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf QuantFactory/MagicPrompt-Stable-Diffusion-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/MagicPrompt-Stable-Diffusion-GGUF:Q4_K_M

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 QuantFactory/MagicPrompt-Stable-Diffusion-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/MagicPrompt-Stable-Diffusion-GGUF:Q4_K_M

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 QuantFactory/MagicPrompt-Stable-Diffusion-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/MagicPrompt-Stable-Diffusion-GGUF:Q4_K_M

Use Docker

docker model run hf.co/QuantFactory/MagicPrompt-Stable-Diffusion-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use QuantFactory/MagicPrompt-Stable-Diffusion-GGUF with Ollama:
```
ollama run hf.co/QuantFactory/MagicPrompt-Stable-Diffusion-GGUF:Q4_K_M
```

Unsloth Studio new

How to use QuantFactory/MagicPrompt-Stable-Diffusion-GGUF 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 QuantFactory/MagicPrompt-Stable-Diffusion-GGUF 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 QuantFactory/MagicPrompt-Stable-Diffusion-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for QuantFactory/MagicPrompt-Stable-Diffusion-GGUF to start chatting

Docker Model Runner
How to use QuantFactory/MagicPrompt-Stable-Diffusion-GGUF with Docker Model Runner:
```
docker model run hf.co/QuantFactory/MagicPrompt-Stable-Diffusion-GGUF:Q4_K_M
```

Lemonade

How to use QuantFactory/MagicPrompt-Stable-Diffusion-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull QuantFactory/MagicPrompt-Stable-Diffusion-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.MagicPrompt-Stable-Diffusion-GGUF-Q4_K_M

List all available models

lemonade list

QuantFactory/MagicPrompt-Stable-Diffusion-GGUF

This is quantized version of Gustavosta/MagicPrompt-Stable-Diffusion created using llama.cpp

Original Model Card

MagicPrompt - Stable Diffusion

This is a model from the MagicPrompt series of models, which are GPT-2 models intended to generate prompt texts for imaging AIs, in this case: Stable Diffusion.

🖼️ Here's an example:

This model was trained with 150,000 steps and a set of about 80,000 data filtered and extracted from the image finder for Stable Diffusion: "Lexica.art". It was a little difficult to extract the data, since the search engine still doesn't have a public API without being protected by cloudflare, but if you want to take a look at the original dataset, you can have a look here: datasets/Gustavosta/Stable-Diffusion-Prompts.

If you want to test the model with a demo, you can go to: "spaces/Gustavosta/MagicPrompt-Stable-Diffusion".

💻 You can see other MagicPrompt models:

For Dall-E 2: Gustavosta/MagicPrompt-Dalle
For Midjourney: Gustavosta/MagicPrompt-Midourney [⚠️ In progress]
MagicPrompt full: Gustavosta/MagicPrompt [⚠️ In progress]

⚖️ Licence:

MIT

When using this model, please credit: Gustavosta

Thanks for reading this far! :)

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GGUF

Model size

0.2B params

Architecture

gpt2

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

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