End of training
Browse files- README.md +6 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1000/transformer/config.json +18 -0
- checkpoint-1000/transformer/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scaler.pt +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-1500/transformer/config.json +18 -0
- checkpoint-1500/transformer/diffusion_pytorch_model.safetensors +3 -0
- model_index.json +1 -1
- transformer/config.json +1 -1
- transformer/diffusion_pytorch_model.safetensors +1 -1
- vae/config.json +1 -1
README.md
CHANGED
@@ -11,6 +11,12 @@ tags:
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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-1000/optimizer.bin
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checkpoint-1000/random_states_0.pkl
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checkpoint-1000/scaler.pt
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checkpoint-1000/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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"num_attention_heads": 24,
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"num_layers": 24,
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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-1000/transformer/diffusion_pytorch_model.safetensors
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checkpoint-1500/optimizer.bin
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checkpoint-1500/random_states_0.pkl
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checkpoint-1500/scaler.pt
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checkpoint-1500/scheduler.bin
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checkpoint-1500/transformer/config.json
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"in_channels": 16,
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"joint_attention_dim": 4096,
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"num_layers": 24,
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checkpoint-1500/transformer/diffusion_pytorch_model.safetensors
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model_index.json
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transformer/config.json
CHANGED
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transformer/diffusion_pytorch_model.safetensors
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vae/config.json
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