Any-to-Any
Diffusers
Safetensors
LuminaDiMOOPipeline
llada
Diffusion Large Language Model
Multi-Modal Generation and Understanding
custom_code
Instructions to use Alpha-VLLM/Lumina-DiMOO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alpha-VLLM/Lumina-DiMOO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Alpha-VLLM/Lumina-DiMOO", 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
Add `library_name: transformers` to metadata
#3 opened 7 months ago
by
nielsr
Comfy and Quants for local inference?
🚀 3
9
#2 opened 8 months ago
by
PabloFG
Demo & Snippet
🔥 2
4
#1 opened 8 months ago
by
merve