Instructions to use tensorblock/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
- llama.cpp
How to use tensorblock/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 tensorblock/MagicPrompt-Stable-Diffusion-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/MagicPrompt-Stable-Diffusion-GGUF:Q2_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tensorblock/MagicPrompt-Stable-Diffusion-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/MagicPrompt-Stable-Diffusion-GGUF:Q2_K
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 tensorblock/MagicPrompt-Stable-Diffusion-GGUF:Q2_K # Run inference directly in the terminal: ./llama-cli -hf tensorblock/MagicPrompt-Stable-Diffusion-GGUF:Q2_K
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 tensorblock/MagicPrompt-Stable-Diffusion-GGUF:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf tensorblock/MagicPrompt-Stable-Diffusion-GGUF:Q2_K
Use Docker
docker model run hf.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF:Q2_K
- LM Studio
- Jan
- Ollama
How to use tensorblock/MagicPrompt-Stable-Diffusion-GGUF with Ollama:
ollama run hf.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF:Q2_K
- Unsloth Studio
How to use tensorblock/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 tensorblock/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 tensorblock/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 tensorblock/MagicPrompt-Stable-Diffusion-GGUF to start chatting
- Docker Model Runner
How to use tensorblock/MagicPrompt-Stable-Diffusion-GGUF with Docker Model Runner:
docker model run hf.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF:Q2_K
- Lemonade
How to use tensorblock/MagicPrompt-Stable-Diffusion-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tensorblock/MagicPrompt-Stable-Diffusion-GGUF:Q2_K
Run and chat with the model
lemonade run user.MagicPrompt-Stable-Diffusion-GGUF-Q2_K
List all available models
lemonade list
- Atomic Chat
File size: 6,948 Bytes
39cc5b1 624a099 39cc5b1 6dd95a9 c4284ca b0a1fc9 c4284ca b0a1fc9 c4284ca 39cc5b1 6dd95a9 39cc5b1 6dd95a9 39cc5b1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 | ---
license: mit
base_model: Gustavosta/MagicPrompt-Stable-Diffusion
tags:
- TensorBlock
- GGUF
---
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## Gustavosta/MagicPrompt-Stable-Diffusion - GGUF
This repo contains GGUF format model files for [Gustavosta/MagicPrompt-Stable-Diffusion](https://huggingface.co/Gustavosta/MagicPrompt-Stable-Diffusion).
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
## Our projects
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<th colspan="2">An OpenAI-compatible multi-provider routing layer.</th>
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<th style="font-size: 25px;">Awesome MCP Servers</th>
<th style="font-size: 25px;">TensorBlock Studio</th>
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<th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
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## Prompt template
```
```
## Model file specification
| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [MagicPrompt-Stable-Diffusion-Q2_K.gguf](https://huggingface.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF/blob/main/MagicPrompt-Stable-Diffusion-Q2_K.gguf) | Q2_K | 0.076 GB | smallest, significant quality loss - not recommended for most purposes |
| [MagicPrompt-Stable-Diffusion-Q3_K_S.gguf](https://huggingface.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF/blob/main/MagicPrompt-Stable-Diffusion-Q3_K_S.gguf) | Q3_K_S | 0.084 GB | very small, high quality loss |
| [MagicPrompt-Stable-Diffusion-Q3_K_M.gguf](https://huggingface.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF/blob/main/MagicPrompt-Stable-Diffusion-Q3_K_M.gguf) | Q3_K_M | 0.091 GB | very small, high quality loss |
| [MagicPrompt-Stable-Diffusion-Q3_K_L.gguf](https://huggingface.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF/blob/main/MagicPrompt-Stable-Diffusion-Q3_K_L.gguf) | Q3_K_L | 0.095 GB | small, substantial quality loss |
| [MagicPrompt-Stable-Diffusion-Q4_0.gguf](https://huggingface.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF/blob/main/MagicPrompt-Stable-Diffusion-Q4_0.gguf) | Q4_0 | 0.099 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [MagicPrompt-Stable-Diffusion-Q4_K_S.gguf](https://huggingface.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF/blob/main/MagicPrompt-Stable-Diffusion-Q4_K_S.gguf) | Q4_K_S | 0.100 GB | small, greater quality loss |
| [MagicPrompt-Stable-Diffusion-Q4_K_M.gguf](https://huggingface.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF/blob/main/MagicPrompt-Stable-Diffusion-Q4_K_M.gguf) | Q4_K_M | 0.105 GB | medium, balanced quality - recommended |
| [MagicPrompt-Stable-Diffusion-Q5_0.gguf](https://huggingface.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF/blob/main/MagicPrompt-Stable-Diffusion-Q5_0.gguf) | Q5_0 | 0.114 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [MagicPrompt-Stable-Diffusion-Q5_K_S.gguf](https://huggingface.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF/blob/main/MagicPrompt-Stable-Diffusion-Q5_K_S.gguf) | Q5_K_S | 0.114 GB | large, low quality loss - recommended |
| [MagicPrompt-Stable-Diffusion-Q5_K_M.gguf](https://huggingface.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF/blob/main/MagicPrompt-Stable-Diffusion-Q5_K_M.gguf) | Q5_K_M | 0.118 GB | large, very low quality loss - recommended |
| [MagicPrompt-Stable-Diffusion-Q6_K.gguf](https://huggingface.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF/blob/main/MagicPrompt-Stable-Diffusion-Q6_K.gguf) | Q6_K | 0.129 GB | very large, extremely low quality loss |
| [MagicPrompt-Stable-Diffusion-Q8_0.gguf](https://huggingface.co/tensorblock/MagicPrompt-Stable-Diffusion-GGUF/blob/main/MagicPrompt-Stable-Diffusion-Q8_0.gguf) | Q8_0 | 0.165 GB | very large, extremely low quality loss - not recommended |
## Downloading instruction
### Command line
Firstly, install Huggingface Client
```shell
pip install -U "huggingface_hub[cli]"
```
Then, downoad the individual model file the a local directory
```shell
huggingface-cli download tensorblock/MagicPrompt-Stable-Diffusion-GGUF --include "MagicPrompt-Stable-Diffusion-Q2_K.gguf" --local-dir MY_LOCAL_DIR
```
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
```shell
huggingface-cli download tensorblock/MagicPrompt-Stable-Diffusion-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```
|