output = llm(
"Once upon a time,",
max_tokens=512,
echo=True
)
print(output)
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:
When using this model, please credit: Gustavosta
Thanks for reading this far! :)
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# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="QuantFactory/MagicPrompt-Stable-Diffusion-GGUF", filename="", )