Instructions to use XDG-XHS/distar_long_1step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XDG-XHS/distar_long_1step with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XDG-XHS/distar_long_1step", 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_2/config.json
Browse files
text_encoder_2/config.json
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{
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"_name_or_path": "/cpfs/user/weijian/data/download/stabilityai/stable-diffusion-xl-base-1.0/text_encoder_2",
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"architectures": [
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"CLIPTextModelWithProjection"
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],
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{
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"architectures": [
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"CLIPTextModelWithProjection"
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],
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