igorgoncharenko15
commited on
Commit
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Parent(s):
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End of training
Browse files- README.md +1 -1
- 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 +16 -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 +16 -0
- checkpoint-1500/transformer/diffusion_pytorch_model.safetensors +3 -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 +16 -0
- checkpoint-2000/transformer/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-500/optimizer.bin +2 -2
- checkpoint-500/random_states_0.pkl +1 -1
- checkpoint-500/scaler.pt +1 -1
- checkpoint-500/scheduler.bin +1 -1
- checkpoint-500/transformer/diffusion_pytorch_model.safetensors +1 -1
- image_0.png +2 -2
- image_1.png +2 -2
- image_2.png +2 -2
- image_3.png +2 -2
- transformer/diffusion_pytorch_model.safetensors +1 -1
README.md
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- sd3
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- sd3-diffusers
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- template:sd-lora
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- text-to-image
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- diffusers-training
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- diffusers
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- lora
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- sd3
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- sd3-diffusers
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- template:sd-lora
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- sd3
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- sd3-diffusers
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- template:sd-lora
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- lora
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- text-to-image
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- diffusers-training
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- diffusers
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- sd3
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- sd3-diffusers
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- template:sd-lora
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checkpoint-1000/optimizer.bin
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checkpoint-1000/transformer/config.json
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"_class_name": "SD3Transformer2DModel",
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"_diffusers_version": "0.30.0.dev0",
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"_name_or_path": "stabilityai/stable-diffusion-3-medium-diffusers",
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"attention_head_dim": 64,
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"caption_projection_dim": 1536,
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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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"sample_size": 128
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}
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checkpoint-1000/transformer/diffusion_pytorch_model.safetensors
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checkpoint-1500/transformer/config.json
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"attention_head_dim": 64,
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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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