Instructions to use Akalabeth12/Text-to-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akalabeth12/Text-to-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Akalabeth12/Text-to-Image", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- SDXL BODY
- SDXL CINEMATIC
- SDXL CIRO NEGROGNI
- SDXL DRAWING STYLE
- SDXL ELDRITCH
- SDXL EXPERIMENTAL
- SDXL GRAFMIX
- SDXL HELPER
- SDXL KAPPA NEURO
- SDXL LORA SPEED
- SDXL PHOTO WOBUSHANNES
- SDXL PHOTO
- SDXL PIXEL AND ICONS
- SDXL RMADA
- SDXL SA MAY
- SDXL SKIN
- SDXL SLIDERS
- SDXL SPEED
- SDXL STYLE NOVUSCHROMA
- SDXL STYLE TIJUANA SLUMLORD
- SDXL STYLE UNCAT
- SDXL STYLES
- SDXL TANG BOHU
- SDXL VEHICLES
- SDXL VICTORIAN
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