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 Install-ComfyUI.ps1
Browse files
scripts/ComfyUI/Install-ComfyUI.ps1
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@@ -285,7 +285,7 @@ if (Test-Path $zipPath) {
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# Triton
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Write-Log " - Installing Triton..."
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$tritonWheel = Join-Path $InstallPath "triton.whl"
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Download-File -Uri "https://github.com/woct0rdho/triton-windows/releases/download/empty/triton-3.3.0-py3-none-any.whl" -OutFile $tritonWheel
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Invoke-AndLog "$venvPython" "-m pip install `"$tritonWheel`""
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Invoke-AndLog "$venvPython" "-m pip install triton-windows"
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# Triton
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Write-Log " - Installing Triton..."
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$tritonWheel = Join-Path $InstallPath "triton-3.3.0-py3-none-any.whl"
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Download-File -Uri "https://github.com/woct0rdho/triton-windows/releases/download/empty/triton-3.3.0-py3-none-any.whl" -OutFile $tritonWheel
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Invoke-AndLog "$venvPython" "-m pip install `"$tritonWheel`""
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Invoke-AndLog "$venvPython" "-m pip install triton-windows"
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