Text-to-Image
Diffusers
Chinese
AltDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
multilingual
English(En)
Chinese(Zh)
Spanish(Es)
French(Fr)
Russian(Ru)
Japanese(Ja)
Korean(Ko)
Arabic(Ar)
Italian(It)
Instructions to use BAAI/AltDiffusion-m9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BAAI/AltDiffusion-m9 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BAAI/AltDiffusion-m9", 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 text_encoder/config.json
Browse files- text_encoder/config.json +2 -1
text_encoder/config.json
CHANGED
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@@ -27,5 +27,6 @@
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"transformers_version": "4.24.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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"transformers_version": "4.24.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002,
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"has_pre_transformation": False
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}
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