Instructions to use Xenos14/Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xenos14/Checkpoints with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Xenos14/Checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -4
config.json
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@@ -452,10 +452,7 @@
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"lora_in_memory_limit": 0,
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"extra_options_txt2img": [
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"sd_model_checkpoint",
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"sd_vae"
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"save_images_before_face_restoration",
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"save_images_before_highres_fix",
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"ad_save_images_before"
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],
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"extra_options_img2img": [],
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"extra_options_cols": 1,
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| 452 |
"lora_in_memory_limit": 0,
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"extra_options_txt2img": [
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"sd_model_checkpoint",
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+
"sd_vae"
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],
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"extra_options_img2img": [],
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"extra_options_cols": 1,
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