Instructions to use nebulette/moss-image-2b-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nebulette/moss-image-2b-encoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nebulette/moss-image-2b-encoder", 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
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Source data
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- common colors, verbs
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- danbooru_tag_taxonomy
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- danbooru2026_moe
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- gelbooru 40k (each sample has a new, unexplored booru tag)
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- saber (2610.22602)
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- sdxl_artists
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- spright_coco
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- pexels_portrait
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- z_image_ethnicity
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Common phrases were removed from the text entries, then they were refined further.
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Source data
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- common colors, verbs
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- danbooru_tags_classified
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- danbooru_tag_taxonomy
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- danbooru2026_moe
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- danbooru_wiki_2606
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- gelbooru 40k (each sample has a new, unexplored booru tag)
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- openart_painterly_foundations
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+
- pexels_portrait
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- saber (2610.22602)
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- sdxl_artists
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- spright_coco
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- z_image_ethnicity
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Common phrases were removed from the text entries, then they were refined further.
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