End of training
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- README.md +22 -0
- checkpoint-1000/controlnet/config.json +47 -0
- checkpoint-1000/controlnet/diffusion_pytorch_model.bin +3 -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-10000/controlnet/config.json +47 -0
- checkpoint-10000/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scaler.pt +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-10500/controlnet/config.json +47 -0
- checkpoint-10500/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-10500/optimizer.bin +3 -0
- checkpoint-10500/random_states_0.pkl +3 -0
- checkpoint-10500/scaler.pt +3 -0
- checkpoint-10500/scheduler.bin +3 -0
- checkpoint-11000/controlnet/config.json +47 -0
- checkpoint-11000/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-11000/optimizer.bin +3 -0
- checkpoint-11000/random_states_0.pkl +3 -0
- checkpoint-11000/scaler.pt +3 -0
- checkpoint-11000/scheduler.bin +3 -0
- checkpoint-11500/controlnet/config.json +47 -0
- checkpoint-11500/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-11500/optimizer.bin +3 -0
- checkpoint-11500/random_states_0.pkl +3 -0
- checkpoint-11500/scaler.pt +3 -0
- checkpoint-11500/scheduler.bin +3 -0
- checkpoint-12000/controlnet/config.json +47 -0
- checkpoint-12000/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-12000/optimizer.bin +3 -0
- checkpoint-12000/random_states_0.pkl +3 -0
- checkpoint-12000/scaler.pt +3 -0
- checkpoint-12000/scheduler.bin +3 -0
- checkpoint-12500/controlnet/config.json +47 -0
- checkpoint-12500/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-12500/optimizer.bin +3 -0
- checkpoint-12500/random_states_0.pkl +3 -0
- checkpoint-12500/scaler.pt +3 -0
- checkpoint-12500/scheduler.bin +3 -0
- checkpoint-13000/controlnet/config.json +47 -0
- checkpoint-13000/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-13000/optimizer.bin +3 -0
- checkpoint-13000/random_states_0.pkl +3 -0
- checkpoint-13000/scaler.pt +3 -0
- checkpoint-13000/scheduler.bin +3 -0
- checkpoint-13500/controlnet/config.json +47 -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
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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-yangsui/save_multi_gpu
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These are controlnet weights trained on stabilityai/stable-diffusion-2-1 with new type of conditioning.
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You can find some example images below.
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prompt: red circle with blue background
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![images_0)](./images_0.png)
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prompt: cyan circle with brown floral background
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![images_1)](./images_1.png)
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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": "0.17.0.dev0",
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"act_fn": "silu",
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"attention_head_dim": [
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"block_out_channels": [
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320,
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"class_embed_type": null,
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"conditioning_embedding_out_channels": [
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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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"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_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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"upcast_attention": true,
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"use_linear_projection": true
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}
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checkpoint-1000/controlnet/diffusion_pytorch_model.bin
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size 1457056057
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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/scheduler.bin
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checkpoint-10000/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.17.0.dev0",
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"act_fn": "silu",
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"attention_head_dim": [
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"block_out_channels": [
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"class_embed_type": null,
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"conditioning_embedding_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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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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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_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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"upcast_attention": true,
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"use_linear_projection": true
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}
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checkpoint-10000/controlnet/diffusion_pytorch_model.bin
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checkpoint-10000/scaler.pt
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checkpoint-10000/scheduler.bin
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checkpoint-10500/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.17.0.dev0",
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"act_fn": "silu",
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"class_embed_type": null,
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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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"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_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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"upcast_attention": true,
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"use_linear_projection": true
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}
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checkpoint-10500/controlnet/diffusion_pytorch_model.bin
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checkpoint-11000/controlnet/config.json
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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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checkpoint-13500/controlnet/config.json
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