Instructions to use yurujaja/DGInStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yurujaja/DGInStyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yurujaja/DGInStyle", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
DGInStyle Model Weights
- Stable Diffusion model weights
- Source-domain(GTA) fine-tuned weights
- ControlNet model weights
- Initialized and fine-tuned with source-domain fine-tuned Stable Diffusion
- SegFormer(MiT-B5 backbone) model weights
- DAFormer (+DGInStyle) model weights
- HRDA (+DGInStyle) model weights
- Downloads last month
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