Instructions to use nan2/lcbanner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nan2/lcbanner with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nan2/lcbanner", 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 vae/config.json
Browse files- vae/config.json +1 -1
vae/config.json
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"block_out_channels": [
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128,
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256,
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1024
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],
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"down_block_types": [
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"block_out_channels": [
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128,
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256,
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512,
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1024
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],
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"down_block_types": [
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