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 +196 -2
model_manifest.json
CHANGED
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"_meta": {
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"bundle_type": "video_controlnet",
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"loader_type": "wan",
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"clip_type": "umt5"
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"GGUF_Q8": {
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"_meta": {
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"bundle_type": "video_inpaint",
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"loader_type": "wan",
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"clip_type": "umt5"
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"GGUF_Q8": {
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"min_vram": 24,
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}
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}
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"_meta": {
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"loader_type": "wan",
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"clip_type": "umt5",
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"moe": true
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"GGUF_Q8": {
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"min_vram": 24,
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"_meta": {
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},
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"FLORENCE2": {
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"_family_meta": {
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"display_name": "Florence2 VLM",
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"description": "Microsoft Florence2 Vision-Language Models for image captioning and analysis"
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