Instructions to use Muapi/data-visualization-style-xl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/data-visualization-style-xl-lora 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("Muapi/data-visualization-style-xl-lora") 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

- Xet hash:
- 293bf7731fa46abf15ae046c3c210d4d00527453b2e196965c2fc2385abd061d
- Size of remote file:
- 333 kB
- SHA256:
- d43dfd730bcc2563d650de62d8715762e97522d766fbda44aaf8b7db0caf4f74
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