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
-
https://huggingface.co/Keltezaa/3D_rendering_style/resolve/main/README.md
- Command line
-
hf download hf://Keltezaa/3D_rendering_style/README.md
-
curl -L -o README.md https://huggingface.co/Keltezaa/3D_rendering_style/resolve/main/README.md
628 Bytes
metadata
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

- Prompt
- Dragon eye, photo realistic, ultra detailed, sharp focus, unreal engine, trending, SLR, 64 megapixel
Trigger words
You should use 3DMM to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.