Instructions to use SkillForge45/GPUDiff-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkillForge45/GPUDiff-V1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SkillForge45/GPUDiff-V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| language: | |
| - en | |
| new_version: SkillForge/GPUDiff-V1 | |
| base_model: | |
| - SkillForge/GPUDiff-V1 | |
| pipeline_tag: text-to-image | |
| library_name: transformers | |
| tags: | |
| - art | |
| ## GPUDiff-V1 - good model for image generation! | |
| GPUDiff - this is a open-source model, but the model is licensed, be careful. | |
| ## Usage | |
| ```bash | |
| python -c "from model import train; train()" # train the model | |
| ``` | |
| ```bash | |
| python -c "from model import demo.launch(); demo.launch()" # launch the demo diffusion model | |
| ``` | |
| ## Features | |
| **Fast generation** - no longer generations on a powerful models. | |
| **No Mega Powerful Model** - brilliant settings of GPU. | |
| **Weighs little** - just a one file. | |
| ## Coco Train | |
| This model is training on a Coco Dataset 2017. | |
| Using Coco Urls: | |
| Coco images: http://images.cocodataset.org/zips/train2017.zip | |
| Coco annotations: http://images.cocodataset.org/annotations/annotations_trainval2017.zip | |
| ## License | |
| This is model is a lecensed, see the LICENSE for more information. | |
| ## Creator | |
| Creator is a me (EidolonAI, SkillForge45). |