Text-to-Image
Diffusers
English
sdxl
sdxl-turbo
stable-diffusion
image-to-image
image-generation
image-editing
fastapi
mps
Instructions to use sujithputta/Lumaforge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sujithputta/Lumaforge with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sujithputta/Lumaforge", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
| from lumaforge.ollama_client import OllamaClient | |
| from lumaforge.pipeline import LumaForgePipeline | |
| from lumaforge.safety import SafetyManager | |
| from lumaforge.benchmark import BenchmarkSuite | |
| from lumaforge.dataset_curator import DatasetCurator | |
| from lumaforge.train import LumaForgeTrainer | |