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
- Draw Things
- DiffusionBee
Update model_index.json
Browse files- model_index.json +7 -7
model_index.json
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{
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"_class_name": "
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"_diffusers_version": "0.
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"feature_extractor": [
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"transformers",
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"CLIPFeatureExtractor"
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],
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"scheduler": [
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"diffusers",
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"
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],
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"
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"
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],
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"tokenizer": [
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"transformers",
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"diffusers",
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"AutoencoderKL"
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]
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}
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{
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"_class_name": "AltDiffusionPipeline",
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"_diffusers_version": "0.8.0.dev0",
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"feature_extractor": [
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"transformers",
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"CLIPFeatureExtractor"
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],
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"scheduler": [
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"diffusers",
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"PNDMScheduler"
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],
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"text_encoder": [
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"alt_diffusion",
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"RobertaSeriesModelWithTransformation"
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],
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"tokenizer": [
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"transformers",
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"diffusers",
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"AutoencoderKL"
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]
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}
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