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
Sync upload model_manifest.json
Browse files- model_manifest.json +116 -0
model_manifest.json
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"_ACCELERATION_LORAS": {
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"path": "loras/WAN2.1/Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64.safetensors",
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"path": "loras/WAN2.1/Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank64.safetensors",
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"path": "loras/WAN2.2/Wan2.2-Lightning_I2V-A14B-4steps-lora_HIGH_fp16.safetensors",
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"path": "loras/WAN2.2/Wan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16.safetensors",
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"path": "loras/WAN2.2/Wan2.2-Lightning_T2V-A14B-4steps-lora_HIGH_fp16.safetensors",
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"path": "loras/QWEN/Qwen-Image-Lightning-8steps-V2.0.safetensors",
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"path": "loras/QWEN/Qwen-Image-Edit-2509-Lightning-4steps-V1.0-fp32.safetensors",
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