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

Notebooks
Google Colab
Kaggle
Local Apps Settings

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

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -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 serve -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

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

Atomic Chat new
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

MagicPrompt-Stable-Diffusion-GGUF

File size: 2,206 Bytes

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---

license: mit

---

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# QuantFactory/MagicPrompt-Stable-Diffusion-GGUF
This is quantized version of [Gustavosta/MagicPrompt-Stable-Diffusion](https://huggingface.co/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](https://huggingface.co/gpt2) models intended to generate prompt texts for imaging AIs, in this case: [Stable Diffusion](https://huggingface.co/CompVis/stable-diffusion).

## 🖼️ Here's an example:

<img src="https://files.catbox.moe/ac3jq7.png">

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](https://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](https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts).

If you want to test the model with a demo, you can go to: "[spaces/Gustavosta/MagicPrompt-Stable-Diffusion](https://huggingface.co/spaces/Gustavosta/MagicPrompt-Stable-Diffusion)".

## 💻 You can see other MagicPrompt models:

- For Dall-E 2: [Gustavosta/MagicPrompt-Dalle](https://huggingface.co/Gustavosta/MagicPrompt-Dalle)
- For Midjourney: [Gustavosta/MagicPrompt-Midourney](https://huggingface.co/Gustavosta/MagicPrompt-Midjourney) **[⚠️ In progress]**
- MagicPrompt full: [Gustavosta/MagicPrompt](https://huggingface.co/Gustavosta/MagicPrompt) **[⚠️ In progress]**

## ⚖️ Licence:

[MIT](https://huggingface.co/models?license=license:mit)

When using this model, please credit: [Gustavosta](https://huggingface.co/Gustavosta)

**Thanks for reading this far! :)**