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
- Unsloth Studio new
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, )
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README.md
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base_model: unsloth/llama-3-8b-bnb-4bit
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- **Developed by:** impactframes
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- **License:** apache-2.0
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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base_model: unsloth/llama-3-8b-bnb-4bit
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# LLaMA3 License and Usage
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## Introduction
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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.
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## Model Training
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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.
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## Useful Links
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- [IF Prompt MKR](https://github.com/if-ai/IF_prompt_MKR)
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- [ComfyUI-IF_AI_tools](https://github.com/if-ai/ComfyUI-IF_AI_tools)
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## Support
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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:
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- **Starring the repository** on GitHub: [Star ComfyUI-IF_AI_tools](https://github.com/if-ai/ComfyUI-IF_AI_tools)
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- **Subscribing** to my YouTube channel: [Impact Frames on YouTube](https://youtube.com/@impactframes?si=DrBu3tOAC2-YbEvc)
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- **Donating** on Ko-fi: [Support Impact Frames on Ko-fi](https://ko-fi.com/impactframes)
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- **Becoming a patron** on Patreon: [Support via Patreon](https://patreon.com/ImpactFrames)
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Thank you for your interest and support!
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- **Developed by:** impactframes
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- **License:** apache-2.0
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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