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 Settings
- Draw Things
- DiffusionBee
Update model_index.json
#3
by Warlord-K - opened
- model_index.json +1 -1
model_index.json
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"GemmaTokenizerFast"
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],
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"transformer": [
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"
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"Lumina2Transformer2DModel"
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],
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"vae": [
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"GemmaTokenizerFast"
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],
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"transformer": [
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"diffusers",
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"Lumina2Transformer2DModel"
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],
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"vae": [
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