Instructions to use Karumoon/test00a2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Karumoon/test00a2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Karumoon/test00a2", dtype=torch.bfloat16, device_map="cuda") prompt = "Jens Peter Hansen kommer fra Danmark" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update unet/config.json
Browse files- unet/config.json +1 -1
unet/config.json
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@@ -32,7 +32,7 @@
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"only_cross_attention": false,
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"out_channels": 4,
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"resnet_time_scale_shift": "default",
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"sample_size":
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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"only_cross_attention": false,
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"out_channels": 4,
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"resnet_time_scale_shift": "default",
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"sample_size": 64,
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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