Instructions to use SD-Next/MicroDecoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SD-Next/MicroDecoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SD-Next/MicroDecoder", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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## Models
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## Code
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## Models
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Which MicroDecoder model can be used for which model types?
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```json
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'sd': ['sd', 'sdxs'],
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'sdxl': ['sdxl', 'ldm', 'pixartalpha', 'pixartsigma', 'hunyuandit', 'omnigen', 'auraflow', 'bria', 'kolors', 'lumina'],
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'f1': ['f1', 'h1', 'zimage', 'lumina2', 'chroma', 'longcat', 'omnigen2', 'flite', 'ovis', 'kandinsky5', 'glmimage', 'cogview3', 'cogview4', 'ultraflux', 'boogu', 'step1x_edit'],
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'f2': ['f2', 'f3', 'ernieimage', 'lens', 'ideogram4', 'lladaimage', 'mossimage', 'sefi'],
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'sd3': ['sd3'],
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'wan21': ['wanai', 'qwen', 'chrono', 'cosmos', 'anima', 'fibo', 'joy', 'krea2', 'mingimage', 'nucleusimage'],
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'minimaxh3': ['minimaxh3'],
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'qwen21': ['qwen21'],
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'dcae': ['sana'],
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'mage': ['mageflow'],
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'hy': ['hunyuanimage'],
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```
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## Code
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