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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from impactframes/IF_AI_SD_PromptMkr: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/impactframes/IF_AI_SD_PromptMkr/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://impactframes/IF_AI_SD_PromptMkr/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/impactframes/IF_AI_SD_PromptMkr/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- 9650c6f2d4685fe7ba1c6d81ff61766ada3a00828227fe2ef4f26864fdc8a90c
- Size of remote file:
- 168 MB
- SHA256:
- b4c5efa02d9104a1c6e8122bab043b760d98479dcea42e3949312ad2d740d1de
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.