Instructions to use Alpha-VLLM/Lumina-Image-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alpha-VLLM/Lumina-Image-2.0 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-Image-2.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
I would like to obtain your contact information and customize a model
1
#19 opened 3 months ago
by
Huahua789
Any controlnets for this model?
1
#18 opened 6 months ago
by
krigeta
webUI and Finetuning on 6GB VRAM
๐ 6
#17 opened 12 months ago
by
Raxephion
need 4 step solution.
1
#12 opened over 1 year ago
by
pikkaa
Demo doesn't work + example prompts?
1
#11 opened over 1 year ago
by
Butti
When I run in comfyui
4
#10 opened over 1 year ago
by
layde
Lora training scripts
7
#9 opened over 1 year ago
by
sh1ny
Recommended settings for ComfyUI.
3
#8 opened over 1 year ago
by
razvanab
Question about the consolidated file
#7 opened over 1 year ago
by
Nap
Switch to FLUX.1-schnell vae files to avoid FLUX.1-dev license restrictions
๐ 6
2
#5 opened over 1 year ago
by
RazielAU
torch.Size([9216, 2304]) vs torch.Size([6144, 2304])),
17
#4 opened over 1 year ago
by
ppbrown
License
๐ 1
5
#2 opened over 1 year ago
by
ostris
Lumina2Text2ImgPipeline don't exists
๐ 6
7
#1 opened over 1 year ago
by
poluramus