Instructions to use Keltezaa/3D_rendering_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/3D_rendering_style 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("Keltezaa/3D_rendering_style") prompt = "Dragon eye, photo realistic, ultra detailed, sharp focus, unreal engine, trending, SLR, 64 megapixel" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Keltezaa/3D_rendering_style: direct link, hf CLI and curl.
- Browser
- Download file 628 Bytes
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https://huggingface.co/Keltezaa/3D_rendering_style/resolve/main/README.md
- Command line
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hf download hf://Keltezaa/3D_rendering_style/README.md
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curl -L -o README.md https://huggingface.co/Keltezaa/3D_rendering_style/resolve/main/README.md
628 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: >- | |
| Dragon eye, photo realistic, ultra detailed, sharp focus, unreal engine, | |
| trending, SLR, 64 megapixel | |
| output: | |
| url: images/example_wgb84zhoh.png | |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| instance_prompt: 3DMM | |
| license: cc-by-nc-sa-4.0 | |
| # 3D rendering style | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `3DMM` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Keltezaa/3D_rendering_style/tree/main) them in the Files & versions tab. | |