metadata
license: mit
datasets:
- Gustavosta/Stable-Diffusion-Prompts
- bartman081523/stable-diffusion-discord-prompts
- Ar4ikov/sd_filtered_2m
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- art
- code
- TensorBlock
- GGUF
widget:
- text: A Tokio town landscape, sunset, by
- text: A Tokio town landscape, sunset
- text: 1girl, blue eyes, dark hair
- text: An astronaut, holding a wrench in outer space
- text: A fire soul eater demon
- text: A portrait of a beautiful woman
- text: A portret of an artist man, thick beard
base_model: Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator
Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator - GGUF
This repo contains GGUF format model files for Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
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Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| gpt2-650k-stable-diffusion-prompt-generator-Q2_K.gguf | Q2_K | 0.076 GB | smallest, significant quality loss - not recommended for most purposes |
| gpt2-650k-stable-diffusion-prompt-generator-Q3_K_S.gguf | Q3_K_S | 0.084 GB | very small, high quality loss |
| gpt2-650k-stable-diffusion-prompt-generator-Q3_K_M.gguf | Q3_K_M | 0.091 GB | very small, high quality loss |
| gpt2-650k-stable-diffusion-prompt-generator-Q3_K_L.gguf | Q3_K_L | 0.095 GB | small, substantial quality loss |
| gpt2-650k-stable-diffusion-prompt-generator-Q4_0.gguf | Q4_0 | 0.099 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| gpt2-650k-stable-diffusion-prompt-generator-Q4_K_S.gguf | Q4_K_S | 0.100 GB | small, greater quality loss |
| gpt2-650k-stable-diffusion-prompt-generator-Q4_K_M.gguf | Q4_K_M | 0.105 GB | medium, balanced quality - recommended |
| gpt2-650k-stable-diffusion-prompt-generator-Q5_0.gguf | Q5_0 | 0.114 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| gpt2-650k-stable-diffusion-prompt-generator-Q5_K_S.gguf | Q5_K_S | 0.114 GB | large, low quality loss - recommended |
| gpt2-650k-stable-diffusion-prompt-generator-Q5_K_M.gguf | Q5_K_M | 0.118 GB | large, very low quality loss - recommended |
| gpt2-650k-stable-diffusion-prompt-generator-Q6_K.gguf | Q6_K | 0.129 GB | very large, extremely low quality loss |
| gpt2-650k-stable-diffusion-prompt-generator-Q8_0.gguf | Q8_0 | 0.165 GB | very large, extremely low quality loss - not recommended |
Downloading instruction
Command line
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/gpt2-650k-stable-diffusion-prompt-generator-GGUF --include "gpt2-650k-stable-diffusion-prompt-generator-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:
huggingface-cli download tensorblock/gpt2-650k-stable-diffusion-prompt-generator-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'