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End of training
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- README.md +22 -0
- checkpoint-1000/controlnet/config.json +55 -0
- checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-10000/controlnet/config.json +55 -0
- checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-11000/controlnet/config.json +55 -0
- checkpoint-11000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-11000/optimizer.bin +3 -0
- checkpoint-11000/random_states_0.pkl +3 -0
- checkpoint-11000/scheduler.bin +3 -0
- checkpoint-12000/controlnet/config.json +55 -0
- checkpoint-12000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-12000/optimizer.bin +3 -0
- checkpoint-12000/random_states_0.pkl +3 -0
- checkpoint-12000/scheduler.bin +3 -0
- checkpoint-13000/controlnet/config.json +55 -0
- checkpoint-13000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-13000/optimizer.bin +3 -0
- checkpoint-13000/random_states_0.pkl +3 -0
- checkpoint-13000/scheduler.bin +3 -0
- checkpoint-14000/controlnet/config.json +55 -0
- checkpoint-14000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-14000/optimizer.bin +3 -0
- checkpoint-14000/random_states_0.pkl +3 -0
- checkpoint-14000/scheduler.bin +3 -0
- checkpoint-15000/controlnet/config.json +55 -0
- checkpoint-15000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-15000/optimizer.bin +3 -0
- checkpoint-15000/random_states_0.pkl +3 -0
- checkpoint-15000/scheduler.bin +3 -0
- checkpoint-16000/controlnet/config.json +55 -0
- checkpoint-16000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-16000/optimizer.bin +3 -0
- checkpoint-16000/random_states_0.pkl +3 -0
- checkpoint-16000/scheduler.bin +3 -0
- checkpoint-17000/controlnet/config.json +55 -0
- checkpoint-17000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-17000/optimizer.bin +3 -0
- checkpoint-17000/random_states_0.pkl +3 -0
- checkpoint-17000/scheduler.bin +3 -0
- checkpoint-18000/controlnet/config.json +55 -0
- checkpoint-18000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-18000/optimizer.bin +3 -0
- checkpoint-18000/random_states_0.pkl +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: stabilityai/stable-diffusion-2-1-base
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- controlnet
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inference: true
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---
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# controlnet-armanzarei/model_out
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These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
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You can find some example images below.
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prompt: a photo of a woman
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prompt: a photo of a dog in the nature
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checkpoint-1000/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.24.0.dev0",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": null,
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"attention_head_dim": [
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5,
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],
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"block_out_channels": [
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1280
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"class_embed_type": null,
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"conditioning_channels": 3,
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"conditioning_embedding_out_channels": [
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16,
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32,
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96,
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256
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],
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"controlnet_conditioning_channel_order": "rgb",
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"cross_attention_dim": 1024,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"global_pool_conditions": false,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_attention_heads": null,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"projection_class_embeddings_input_dim": null,
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"resnet_time_scale_shift": "default",
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"transformer_layers_per_block": 1,
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"upcast_attention": false,
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"use_linear_projection": true
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}
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checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors
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checkpoint-10000/controlnet/config.json
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"block_out_channels": [
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"controlnet_conditioning_channel_order": "rgb",
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"cross_attention_dim": 1024,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"in_channels": 4,
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"mid_block_scale_factor": 1,
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"norm_eps": 1e-05,
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"resnet_time_scale_shift": "default",
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"use_linear_projection": true
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}
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checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors
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checkpoint-11000/controlnet/config.json
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"down_block_types": [
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"encoder_hid_dim": null,
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checkpoint-11000/controlnet/diffusion_pytorch_model.safetensors
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checkpoint-12000/controlnet/config.json
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