Text-to-Image
Diffusers
lora
style
psychedelic
illustration
neon
high-contrast
dark-fantasy
linocut
art
sdxl
Instructions to use ABDALLALSWAITI/Spectra-Etch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ABDALLALSWAITI/Spectra-Etch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ABDALLALSWAITI/Spectra-Etch") prompt = "Spectra-Etch, roaring tiger, intricate linework, high contrast, vibrant teal and orange colors, detailed shading, neon glow" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- e45e890b9174f26c05f1874b13d90ec241aaf73abe3f4f1d903da0731b858f94
- Size of remote file:
- 1.71 MB
- SHA256:
- e1ebf7f5c6baea17e1b4f6cdec719ee9a35076a25e52858fd99a261b00c7bb38
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.