đŦTechnical Deep Dive
Full Specifications [+]
đ What's Next?
⥠Quick Commands
ollama run magicprompt-stable-diffusion huggingface-cli download gustavosta/magicprompt-stable-diffusion pip install -U transformers Hardware Compatibility
Multi-Tier Validation Matrix
RTX 3060 / 4060 Ti
RTX 4070 Super
RTX 4080 / Mac M3
RTX 3090 / 4090
RTX 6000 Ada
A100 / H100
Pro Tip: Compatibility is estimated for 4-bit quantization (Q4). High-precision (FP16) or ultra-long context windows will significantly increase VRAM requirements.
README
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.
đŧī¸ 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".
đģ You can see other MagicPrompt models:
- For Dall-E 2: Gustavosta/MagicPrompt-Dalle
- For Midjourney: Gustavosta/MagicPrompt-Midourney [â ī¸ In progress]
- MagicPrompt full: Gustavosta/MagicPrompt [â ī¸ In progress]
âī¸ Licence:
When using this model, please credit: Gustavosta
Thanks for reading this far! :)
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.
đŧī¸ 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".
đģ You can see other MagicPrompt models:
- For Dall-E 2: Gustavosta/MagicPrompt-Dalle
- For Midjourney: Gustavosta/MagicPrompt-Midourney [â ī¸ In progress]
- MagicPrompt full: Gustavosta/MagicPrompt [â ī¸ In progress]
âī¸ Licence:
When using this model, please credit: Gustavosta
Thanks for reading this far! :)
đ Limitations & Considerations
- âĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
- âĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
- âĸ FNI scores are relative rankings and may change as new models are added.
- â License Unknown: Verify licensing terms before commercial use.
- âĸ Source: Unknown
Cite this model
Academic & Research Attribution
@misc{hf_model__gustavosta__magicprompt_stable_diffusion,
author = {gustavosta},
title = {undefined Model},
year = {2026},
howpublished = {\url{https://huggingface.co/gustavosta/magicprompt-stable-diffusion}},
note = {Accessed via Free2AITools Knowledge Fortress}
}AI Summary: Based on Hugging Face metadata. Not a recommendation.
đĄī¸ Model Transparency Report
Verified data manifest for traceability and transparency.
đ Identity & Source
- id
- hf-model--gustavosta--magicprompt-stable-diffusion
- author
- gustavosta
- tags
- transformerspytorchcoremlsafetensorsgpt2text-generationlicense:mittext-generation-inferenceendpoints_compatibledeploy:azureregion:us
âī¸ Technical Specs
- architecture
- GPT2LMHeadModel
- params billions
- 0.14
- context length
- 4,096
- vram gb
- 1.4
- vram is estimated
- true
- vram formula
- VRAM â (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)
đ Engagement & Metrics
- likes
- 731
- downloads
- 6,267
Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)