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 config.json
Browse files
models/preprocessors/depth/Intel-zoedepth-nyu-kitti/config.json
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{
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"add_projection": false,
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"architectures": [
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"ZoeDepthForDepthEstimation"
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],
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"attractor_alpha": 1000,
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"attractor_gamma": 2,
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"attractor_kind": "mean",
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"backbone": null,
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"backbone_config": {
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"hidden_size": 1024,
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"image_size": 384,
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"intermediate_size": 4096,
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"model_type": "beit",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"out_features": [
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"stage6",
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"stage12",
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"stage18",
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"stage24"
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],
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"out_indices": [
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6,
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12,
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18,
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24
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],
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"reshape_hidden_states": false,
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4",
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"stage5",
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"stage6",
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"stage7",
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"stage8",
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"stage9",
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"stage10",
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"stage11",
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"stage12",
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"stage13",
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"stage14",
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"stage15",
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"stage16",
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"stage17",
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"stage18",
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"stage19",
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"stage20",
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"stage21",
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"stage22",
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"stage23",
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"stage24"
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],
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"use_relative_position_bias": true
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},
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"backbone_hidden_size": 1024,
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"batch_norm_eps": 1e-05,
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"bin_centers_type": "softplus",
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"bin_configurations": [
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{
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"max_depth": 10.0,
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"min_depth": 0.001,
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"n_bins": 64,
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"name": "nyu"
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},
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{
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"max_depth": 80.0,
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"min_depth": 0.001,
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"n_bins": 64,
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"name": "kitti"
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}
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],
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"bin_embedding_dim": 128,
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"bottleneck_features": 256,
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"fusion_hidden_size": 256,
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"head_in_index": -1,
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"hidden_act": "gelu",
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"initializer_range": 0.02,
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"max_temp": 50.0,
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"min_temp": 0.0212,
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"model_type": "zoedepth",
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"neck_hidden_sizes": [
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256,
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512,
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1024,
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1024
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],
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"num_attractors": [
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16,
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8,
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4,
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1
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],
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"num_patch_transformer_layers": 4,
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"num_relative_features": 32,
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"patch_transformer_hidden_size": 128,
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"patch_transformer_intermediate_size": 1024,
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"patch_transformer_num_attention_heads": 4,
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"readout_type": "project",
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"reassemble_factors": [
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4,
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2,
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1,
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0.5
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],
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"torch_dtype": "float32",
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"transformers_version": "4.42.0.dev0",
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"use_batch_norm_in_fusion_residual": false,
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"use_bias_in_fusion_residual": null,
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"use_pretrained_backbone": false
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}
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