Instructions to use yuyang-cloud/inter_ckpts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yuyang-cloud/inter_ckpts with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yuyang-cloud/inter_ckpts", 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 folder using huggingface_hub
Browse files- vae_50_50_16_8/182_miou=72.207_model/config.json +19 -0
- vae_50_50_16_8/182_miou=72.207_model/diffusion_pytorch_model.bin +3 -0
- vae_50_50_16_8/182_miou=72.207_trainer.pt +3 -0
- vae_50_50_16_8/tb/events.out.tfevents.1752664681.cvrp-gpu-8.2633264.0 +3 -0
- vae_50_50_16_8/tb/events.out.tfevents.1752759922.cvrp-gpu-8.3519771.0 +3 -0
vae_50_50_16_8/182_miou=72.207_model/config.json
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{
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"num_class": 18,
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"geo_feat_channels": 8,
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"feat_channel_up": 64,
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"mlp_hidden_channels": 256,
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"mlp_hidden_layers": 4,
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"padding_mode": "replicate",
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"z_down": true,
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"xy_down": true,
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"xy_down_times": 4,
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"use_vae": true,
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"voxel_fea": false,
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"triplane": true,
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"pos": true,
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"dataset": "Occ3D-nuScenes",
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"_class_name": "Config",
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"_diffusers_version": "0.17.1",
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"block_out_channels": [64, 128, 256]
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}
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vae_50_50_16_8/182_miou=72.207_model/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 2578006
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vae_50_50_16_8/182_miou=72.207_trainer.pt
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version https://git-lfs.github.com/spec/v1
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size 5167215
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vae_50_50_16_8/tb/events.out.tfevents.1752664681.cvrp-gpu-8.2633264.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:815c0e16d589e63ffc1c9f7f160fb1c790cdeab16dc97a05cf22c14c0309d69e
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size 16485516
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vae_50_50_16_8/tb/events.out.tfevents.1752759922.cvrp-gpu-8.3519771.0
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version https://git-lfs.github.com/spec/v1
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size 13372378
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