Any-to-Any
Diffusers
Safetensors
Diffusion Large Language Model
Multi-Modal Generation and Understanding
Instructions to use xmfrostless/Lumina-DiMOO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xmfrostless/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("xmfrostless/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
- Xet hash:
- 8dd75860c1f47b6660792eb2b2f751649e6aa2b5713cfec4296677eb2326877f
- Size of remote file:
- 11.3 MB
- SHA256:
- d1e30dd1588d25682e78c74a57bc775173cc34f85f991385602812a2d498fc7d
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