Instructions to use impactframes/IF_AI_SD_PromptMkr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use impactframes/IF_AI_SD_PromptMkr with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("impactframes/IF_AI_SD_PromptMkr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use impactframes/IF_AI_SD_PromptMkr 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 impactframes/IF_AI_SD_PromptMkr 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 impactframes/IF_AI_SD_PromptMkr to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for impactframes/IF_AI_SD_PromptMkr to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="impactframes/IF_AI_SD_PromptMkr", max_seq_length=2048, )
| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - llama | |
| - trl | |
| base_model: unsloth/llama-3-8b-bnb-4bit | |
| # LLaMA3 License and Usage | |
|  | |
| ## Introduction | |
| The LLaMA3 model is equipped to deliver superior results in machine learning applications. This model is particularly effective when used in conjunction with the IF_AI_tools custom node for ComfyUI and the IF_PromptMKr, my extension for A1111 Forge and Next platforms. | |
| ## Model Training | |
| LLaMA3 has been meticulously trained on a synthetic dataset comprising over 50,000 high-quality, stable diffusion prompts, ensuring robustness and high performance across various tasks. | |
| ## Useful Links | |
| - [IF Prompt MKR](https://github.com/if-ai/IF_prompt_MKR) | |
| - [ComfyUI-IF_AI_tools](https://github.com/if-ai/ComfyUI-IF_AI_tools) | |
| ## Support | |
| Your support is invaluable in continuing the development and enhancement of tools like these. If you find this tool useful, please consider extending your support by: | |
| - **Starring the repository** on GitHub: [Star ComfyUI-IF_AI_tools](https://github.com/if-ai/ComfyUI-IF_AI_tools) | |
| - **Subscribing** to my YouTube channel: [Impact Frames on YouTube](https://youtube.com/@impactframes?si=DrBu3tOAC2-YbEvc) | |
| - **Donating** on Ko-fi: [Support Impact Frames on Ko-fi](https://ko-fi.com/impactframes) | |
| - **Becoming a patron** on Patreon: [Support via Patreon](https://patreon.com/ImpactFrames) | |
| Thank you for your interest and support! | |
| - **Developed by:** impactframes | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit | |
| This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. | |
| [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) | |