End of training
Browse files- README.md +6 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scaler.pt +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-2000/transformer/config.json +18 -0
- checkpoint-2000/transformer/diffusion_pytorch_model.safetensors +3 -0
- transformer/config.json +1 -1
- transformer/diffusion_pytorch_model.safetensors +1 -1
README.md
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- template:sd-lora
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- sd3
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- sd3-diffusers
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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- template:sd-lora
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- sd3
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- sd3-diffusers
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- text-to-image
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- diffusers-training
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- diffusers
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- template:sd-lora
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- sd3
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- sd3-diffusers
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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checkpoint-2000/optimizer.bin
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checkpoint-2000/random_states_0.pkl
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checkpoint-2000/scaler.pt
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checkpoint-2000/scheduler.bin
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checkpoint-2000/transformer/config.json
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{
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"_class_name": "SD3Transformer2DModel",
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"_diffusers_version": "0.35.0.dev0",
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"_name_or_path": "hp/hp-sd3/checkpoint-1500",
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"attention_head_dim": 64,
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"caption_projection_dim": 1536,
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"dual_attention_layers": [],
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"in_channels": 16,
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"joint_attention_dim": 4096,
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"num_attention_heads": 24,
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"num_layers": 24,
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"out_channels": 16,
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"patch_size": 2,
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"pooled_projection_dim": 2048,
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"pos_embed_max_size": 192,
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"qk_norm": null,
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"sample_size": 128
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}
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checkpoint-2000/transformer/diffusion_pytorch_model.safetensors
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size 8339883776
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transformer/config.json
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"attention_head_dim": 64,
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"dual_attention_layers": [],
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transformer/diffusion_pytorch_model.safetensors
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