Instructions to use SkillForge45/SecondFussion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkillForge45/SecondFussion with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SkillForge45/SecondFussion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| language: | |
| - en | |
| base_model: | |
| - SkillForge45/SecondFussion | |
| new_version: SkillForge45/SecondFussion | |
| pipeline_tag: text-to-image | |
| library_name: transformers | |
| tags: | |
| - art | |
| # SecondFussion - Cool Diffussion Image Generator | |
| This is a free diffussion art creator (for normal work need powerful GPU) | |
| ## Usage | |
| ```bash | |
| python train.py #train the model | |
| ``` | |
| ```bash | |
| python generate.py --prompts "a red car" "a sunset beach" "a cat playing guitar" --size 256 #generate from 4 prompts | |
| ``` | |
| ### !Warning! | |
| Before use: you should download coco dataset and put it in train2017 path, annotations/captions_train2017.json | |
| <p><small>©2025 EidolonAI, "SecondFussion"</small></p> |