Instructions to use superprpogresor/reavis13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use superprpogresor/reavis13 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("superprpogresor/reavis13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
31bddff
1
Parent(s): d7a32af
Update config.json
Browse files- config.json +1 -1
config.json
CHANGED
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@@ -163,7 +163,7 @@
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"img_downscale_threshold": 4.0,
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"target_side_length": 4000.0,
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"no_dpmpp_sde_batch_determinism": false,
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-
"control_net_model_config": "models
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| 167 |
"control_net_model_adapter_config": "models\\sketch_adapter_v14.yaml",
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| 168 |
"control_net_detectedmap_dir": "detected_maps",
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"control_net_models_path": "",
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| 163 |
"img_downscale_threshold": 4.0,
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| 164 |
"target_side_length": 4000.0,
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| 165 |
"no_dpmpp_sde_batch_determinism": false,
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| 166 |
+
"control_net_model_config": "/kaggle/working/stable-diffusion-webui/extensions/sd-webui-controlnet/models/cldm_v15.yaml",
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| 167 |
"control_net_model_adapter_config": "models\\sketch_adapter_v14.yaml",
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| 168 |
"control_net_detectedmap_dir": "detected_maps",
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| 169 |
"control_net_models_path": "",
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