beta-3 re-export: shared-components-512x896
Browse files- shared-components-512x896/TextEncoder.aimodel/main.hash +1 -1
- shared-components-512x896/TextEncoder.aimodel/main.mlirb +2 -2
- shared-components-512x896/TextEncoder.aimodel/metadata.json +5 -4
- shared-components-512x896/VAEDecoder_half.aimodel/main.hash +1 -1
- shared-components-512x896/VAEDecoder_half.aimodel/main.mlirb +2 -2
- shared-components-512x896/VAEDecoder_half.aimodel/metadata.json +4 -3
- shared-components-512x896/VAEEncoder_half.aimodel/main.hash +1 -1
- shared-components-512x896/VAEEncoder_half.aimodel/main.mlirb +2 -2
- shared-components-512x896/VAEEncoder_half.aimodel/metadata.json +5 -4
- shared-components-512x896/metadata.json +4 -5
shared-components-512x896/TextEncoder.aimodel/main.hash
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shared-components-512x896/TextEncoder.aimodel/main.mlirb
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shared-components-512x896/TextEncoder.aimodel/metadata.json
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{
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"license" : "Apache-2.0",
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"assetVersion" : "2.0",
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"creationDate" : "20260621T145350Z",
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"description" : "Z-Image Turbo is a 6B single-stream diffusion transformer (S3-DiT) text-to-image model from Tongyi Lab, distilled for ~8-step sampling. Source: https:\/\/huggingface.co\/Tongyi-MAI\/Z-Image-Turbo — TextEncoder component.",
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{
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"description" : "Z-Image Turbo is a 6B single-stream diffusion transformer (S3-DiT) text-to-image model from Tongyi Lab, distilled for ~8-step sampling. Source: https:\/\/huggingface.co\/Tongyi-MAI\/Z-Image-Turbo — TextEncoder component.",
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"assetVersion" : "2.0",
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"license" : "Apache-2.0",
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"author" : "Tongyi-MAI (Alibaba)",
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"creationDate" : "20260708T142751Z",
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"producer" : "coreai-core 1.0.0b2"
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shared-components-512x896/VAEDecoder_half.aimodel/main.hash
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shared-components-512x896/VAEDecoder_half.aimodel/main.mlirb
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shared-components-512x896/VAEDecoder_half.aimodel/metadata.json
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"author" : "Tongyi-MAI (Alibaba)",
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"assetVersion" : "2.0",
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"
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"description" : "Z-Image Turbo is a 6B single-stream diffusion transformer (S3-DiT) text-to-image model from Tongyi Lab, distilled for ~8-step sampling. Source: https:\/\/huggingface.co\/Tongyi-MAI\/Z-Image-Turbo — VAEDecoder_half component."
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}
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"description" : "Z-Image Turbo is a 6B single-stream diffusion transformer (S3-DiT) text-to-image model from Tongyi Lab, distilled for ~8-step sampling. Source: https:\/\/huggingface.co\/Tongyi-MAI\/Z-Image-Turbo — VAEDecoder_half component.",
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"author" : "Tongyi-MAI (Alibaba)",
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"producer" : "coreai-core 1.0.0b2",
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"creationDate" : "20260708T055045Z",
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"assetVersion" : "2.0",
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"license" : "Apache-2.0"
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}
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shared-components-512x896/VAEEncoder_half.aimodel/main.hash
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shared-components-512x896/VAEEncoder_half.aimodel/main.mlirb
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version https://git-lfs.github.com/spec/v1
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shared-components-512x896/VAEEncoder_half.aimodel/metadata.json
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{
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"
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"license" : "Apache-2.0",
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"assetVersion" : "2.0",
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"author" : "Tongyi-MAI (Alibaba)",
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"
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}
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{
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"description" : "Z-Image Turbo is a 6B single-stream diffusion transformer (S3-DiT) text-to-image model from Tongyi Lab, distilled for ~8-step sampling. Source: https:\/\/huggingface.co\/Tongyi-MAI\/Z-Image-Turbo — VAEEncoder_half component.",
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"author" : "Tongyi-MAI (Alibaba)",
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+
"producer" : "coreai-core 1.0.0b2",
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+
"creationDate" : "20260708T055048Z",
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"assetVersion" : "2.0",
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"license" : "Apache-2.0"
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}
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shared-components-512x896/metadata.json
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{
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"metadata_version": "0.2",
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"kind": "diffusion",
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"name": "Z-Image-
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"assets": {
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"transformer_512": "Transformer_512.aimodel",
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"text_encoder": "TextEncoder.aimodel",
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"vae_decoder_half": "VAEDecoder_half.aimodel",
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"vae_encoder_half": "VAEEncoder_half.aimodel"
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"encoder_scale_factor": 0.3611,
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"decoder_scale_factor": 0.3611,
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"decoder_shift_factor": 0.1159,
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"image_size":
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"patch_size": 2,
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"latent_channels": 16,
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"cap_feat_dim": 2560,
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"model_definition": "torch",
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"hf_model_id": "Tongyi-MAI/Z-Image-Turbo"
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},
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"compression": "4bit
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"compilation": {
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"date": "2026-06-22T21:16:00-07:00",
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"targets": []
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}
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}
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{
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"metadata_version": "0.2",
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"kind": "diffusion",
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"name": "Z-Image-Shared-512x896",
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"assets": {
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"text_encoder": "TextEncoder.aimodel",
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"vae_decoder_half": "VAEDecoder_half.aimodel",
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"vae_encoder_half": "VAEEncoder_half.aimodel"
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"encoder_scale_factor": 0.3611,
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"decoder_scale_factor": 0.3611,
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"decoder_shift_factor": 0.1159,
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"image_size": 512,
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"image_height": 896,
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"patch_size": 2,
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"latent_channels": 16,
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"cap_feat_dim": 2560,
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"model_definition": "torch",
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"hf_model_id": "Tongyi-MAI/Z-Image-Turbo"
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},
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"compression": "4bit",
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"compilation": {
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"targets": []
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}
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}
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