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 whl/sageattention-2.2.0+sm80-cp313-cp313-linux_x86_64.whl with huggingface_hub
Browse files
.gitattributes
CHANGED
|
@@ -533,3 +533,4 @@ whl/sageattention-2.2.0-cp311-cp311-win_amd64.whl filter=lfs diff=lfs merge=lfs
|
|
| 533 |
whl/sageattention-2.2.0-cp312-cp312-win_amd64.whl filter=lfs diff=lfs merge=lfs -text
|
| 534 |
whl/sageattention-2.2.0-cp313-cp313-win_amd64.whl filter=lfs diff=lfs merge=lfs -text
|
| 535 |
whl/sageattention-2.2.0+sm86-cp313-cp313-linux_x86_64.whl filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 533 |
whl/sageattention-2.2.0-cp312-cp312-win_amd64.whl filter=lfs diff=lfs merge=lfs -text
|
| 534 |
whl/sageattention-2.2.0-cp313-cp313-win_amd64.whl filter=lfs diff=lfs merge=lfs -text
|
| 535 |
whl/sageattention-2.2.0+sm86-cp313-cp313-linux_x86_64.whl filter=lfs diff=lfs merge=lfs -text
|
| 536 |
+
whl/sageattention-2.2.0+sm80-cp313-cp313-linux_x86_64.whl filter=lfs diff=lfs merge=lfs -text
|
whl/sageattention-2.2.0+sm80-cp313-cp313-linux_x86_64.whl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b8d33fcd4a51bd8fc97ba09e3e5040e0d6414de386c8fc751e87b3482b1cf81f
|
| 3 |
+
size 8428649
|