Text-to-Image
Diffusers
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
template:sd-lora
Instructions to use GazTrab/3drenec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GazTrab/3drenec 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("GazTrab/3drenec") prompt = "3D illustration in the style of <s0><s1>, depicting a sleek, modern workspace with the <s0><s1> logo intricately woven into the design of a futuristic computer interface. The desk is vibrant teal, matching the logo hue, surrounded by angular, geometric shapes that echo the <s0><s1> brand aesthetic. Above the workspace, holographic screens display interactive graphs and data analytics, subtly incorporating the <s0><s1> logo. The scene is enhanced by soft, ambient light, emphasizing cutting-edge technology and innovation." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 7c7433e6aee82b5e67aa45da2a7820db133b0f3a3238367418a8b588dad8d49e
- Size of remote file:
- 1.1 MB
- SHA256:
- c7c693f280057c07daad70ef8fec2861db551ddb9d189a8c8383fbe66f7fabe2
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