Instructions to use UmeAiRT/ComfyUI-Auto-Installer-Assets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UmeAiRT/ComfyUI-Auto-Installer-Assets with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UmeAiRT/ComfyUI-Auto-Installer-Assets", 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
Upload tools_manifest.json
Browse files- tools_manifest.json +26 -2
tools_manifest.json
CHANGED
|
@@ -87,7 +87,7 @@
|
|
| 87 |
"whl": {
|
| 88 |
"nunchaku": {
|
| 89 |
"version": "1.2.1+cu13.0torch2.10",
|
| 90 |
-
"platform": "
|
| 91 |
"files": {
|
| 92 |
"cp311": {
|
| 93 |
"filename": "whl/nunchaku-1.2.1+cu13.0torch2.10-cp311-cp311-win_amd64.whl",
|
|
@@ -100,9 +100,33 @@
|
|
| 100 |
"cp313": {
|
| 101 |
"filename": "whl/nunchaku-1.2.1+cu13.0torch2.10-cp313-cp313-win_amd64.whl",
|
| 102 |
"sha256": "d3a922fa918fb2c3c815bf4fc5645ce663ec5354e7c026b384269813785b913d"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 103 |
}
|
| 104 |
},
|
| 105 |
-
"_note": "
|
| 106 |
},
|
| 107 |
"insightface": {
|
| 108 |
"version": "0.7.3",
|
|
|
|
| 87 |
"whl": {
|
| 88 |
"nunchaku": {
|
| 89 |
"version": "1.2.1+cu13.0torch2.10",
|
| 90 |
+
"platform": "any",
|
| 91 |
"files": {
|
| 92 |
"cp311": {
|
| 93 |
"filename": "whl/nunchaku-1.2.1+cu13.0torch2.10-cp311-cp311-win_amd64.whl",
|
|
|
|
| 100 |
"cp313": {
|
| 101 |
"filename": "whl/nunchaku-1.2.1+cu13.0torch2.10-cp313-cp313-win_amd64.whl",
|
| 102 |
"sha256": "d3a922fa918fb2c3c815bf4fc5645ce663ec5354e7c026b384269813785b913d"
|
| 103 |
+
},
|
| 104 |
+
"linux_cu130_cp311": {
|
| 105 |
+
"filename": "whl/nunchaku-1.2.1+cu13.0torch2.10-cp311-cp311-linux_x86_64.whl",
|
| 106 |
+
"sha256": "41764c63338f0f1635187d597e5ff84d7088b93d224e26c3c12112f6bc6ff076"
|
| 107 |
+
},
|
| 108 |
+
"linux_cu130_cp312": {
|
| 109 |
+
"filename": "whl/nunchaku-1.2.1+cu13.0torch2.10-cp312-cp312-linux_x86_64.whl",
|
| 110 |
+
"sha256": "ea55dce13fd87851479a622c71f890d6b74cf984da098a562a7d4e12ab23edba"
|
| 111 |
+
},
|
| 112 |
+
"linux_cu130_cp313": {
|
| 113 |
+
"filename": "whl/nunchaku-1.2.1+cu13.0torch2.10-cp313-cp313-linux_x86_64.whl",
|
| 114 |
+
"sha256": "8a132f4b3866b7b271fc00fd244685ab49b058d3deb4afa69b7150e295a79883"
|
| 115 |
+
},
|
| 116 |
+
"linux_cu128_cp311": {
|
| 117 |
+
"filename": "whl/nunchaku-1.2.1+cu12.8torch2.10-cp311-cp311-linux_x86_64.whl",
|
| 118 |
+
"sha256": "1051614268b3006c141e9e2f10c1a83a029ff2795f603341670fbf612eda2654"
|
| 119 |
+
},
|
| 120 |
+
"linux_cu128_cp312": {
|
| 121 |
+
"filename": "whl/nunchaku-1.2.1+cu12.8torch2.10-cp312-cp312-linux_x86_64.whl",
|
| 122 |
+
"sha256": "c8d8d39a859401e467f952961348edd6e58f8eb35b5dd448f389ccb4b51f9867"
|
| 123 |
+
},
|
| 124 |
+
"linux_cu128_cp313": {
|
| 125 |
+
"filename": "whl/nunchaku-1.2.1+cu12.8torch2.10-cp313-cp313-linux_x86_64.whl",
|
| 126 |
+
"sha256": "5f856946d834a3c8c2682d9c9ebf858c86c1ab9fe140563a4ac0a4a6625d9c04"
|
| 127 |
}
|
| 128 |
},
|
| 129 |
+
"_note": "Contains wheels for both Windows and Linux."
|
| 130 |
},
|
| 131 |
"insightface": {
|
| 132 |
"version": "0.7.3",
|