Push model using huggingface_hub.
Browse files- README.md +10 -0
- config.json +55 -0
- model.safetensors +3 -0
README.md
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---
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tags:
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- model_hub_mixin
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- pytorch_model_hub_mixin
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---
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This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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- Code: [More Information Needed]
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- Paper: [More Information Needed]
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- Docs: [More Information Needed]
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config.json
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{
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"model_config": {
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"RGB_normalizer": 0.18215,
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"arch": "B",
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"cache_rate": 1,
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"cfg_scale": 1.0,
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"divisible": 16,
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"injection_args": {
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"injection_method": "cross",
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"injection_position": "q",
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"self_attn": true
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},
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"patch_size": 2,
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"thermal_normalizer": 0.95941,
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"transport_config": {
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"loss_weight": "None",
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"path_type": "Linear",
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"prediction": "velocity"
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},
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"vae": "ema",
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"vae_config": {
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"act_fn": "silu",
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"block_out_channels": [
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128,
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256,
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512,
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512
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],
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"down_block_types": [
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D"
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],
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"force_upcast": true,
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"in_channels": 1,
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"latent_channels": 4,
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"layers_per_block": 2,
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"mid_block_add_attention": true,
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"norm_num_groups": 32,
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"out_channels": 1,
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"sample_size": 256,
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"up_block_types": [
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D"
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],
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"use_post_quant_conv": true,
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"use_quant_conv": true
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},
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"vae_model": "klvae",
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"vae_path": "checkpoints/klvae_1st/checkpoints/last.ckpt"
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}
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae733cd65d67aca472c6cf7e0f067e78a0a973a9fc0e5975100c3ceaed7fd908
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size 1389014528
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