Text-to-Image
Diffusers
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
wallpaper
landscape
digital-art
Instructions to use Atugil-Intelligence/synas-image-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Atugil-Intelligence/synas-image-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Atugil-Intelligence/synas-image-1") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: creativeml-openrail-m | |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| tags: | |
| - stable-diffusion-xl | |
| - stable-diffusion-xl-diffusers | |
| - text-to-image | |
| - diffusers | |
| - lora | |
| - wallpaper | |
| - landscape | |
| - digital-art | |
| datasets: | |
| - Navanjana/image-wallpapers-dataset | |
| # ๐จ Synas Image 1 (SDXL Wallpaper LoRA) | |
| **Synas Image 1** is a Low-Rank Adaptation (LoRA) fine-tuned on the Stable Diffusion XL 1.0 base model. It is specifically engineered to generate high-resolution, highly aesthetic digital wallpapers, ranging from cinematic landscapes and vehicles to abstract digital art. | |
| ## ๐ Model Details | |
| * **Base Model:** SDXL 1.0 (3.5 Billion Parameters) | |
| * **Architecture:** LoRA Adapter | |
| * **Training Hardware:** Dual NVIDIA T4 GPUs | |
| * **Dataset:** Trained on a curated 500-image subset of the `Navanjana/image-wallpapers-dataset`. | |
| ## ๐ผ๏ธ Example Generations | |
| **[Example 1]**  | |
| **[Example 2]**  | |
| **[Example 3]**  | |
| **[Example 4]**  | |
| ## ๐ป How to Use | |
| This model is designed to be used with the Hugging Face `diffusers` library. | |
| ### Installation | |
| ```bash | |
| pip install diffusers transformers accelerate torch |