End of training
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- .gitattributes +3 -0
- README.md +28 -0
- checkpoint-10150/controlnet/config.json +51 -0
- checkpoint-10150/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-10150/optimizer.bin +3 -0
- checkpoint-10150/random_states_0.pkl +3 -0
- checkpoint-10150/scheduler.bin +3 -0
- checkpoint-11600/controlnet/config.json +51 -0
- checkpoint-11600/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-11600/optimizer.bin +3 -0
- checkpoint-11600/random_states_0.pkl +3 -0
- checkpoint-11600/scheduler.bin +3 -0
- checkpoint-13050/controlnet/config.json +51 -0
- checkpoint-13050/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-13050/optimizer.bin +3 -0
- checkpoint-13050/random_states_0.pkl +3 -0
- checkpoint-13050/scheduler.bin +3 -0
- checkpoint-1450/controlnet/config.json +51 -0
- checkpoint-1450/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1450/optimizer.bin +3 -0
- checkpoint-1450/random_states_0.pkl +3 -0
- checkpoint-1450/scheduler.bin +3 -0
- checkpoint-14500/controlnet/config.json +51 -0
- checkpoint-14500/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-14500/optimizer.bin +3 -0
- checkpoint-14500/random_states_0.pkl +3 -0
- checkpoint-14500/scheduler.bin +3 -0
- checkpoint-15950/controlnet/config.json +51 -0
- checkpoint-15950/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-15950/optimizer.bin +3 -0
- checkpoint-15950/random_states_0.pkl +3 -0
- checkpoint-15950/scheduler.bin +3 -0
- checkpoint-17400/controlnet/config.json +51 -0
- checkpoint-17400/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-17400/optimizer.bin +3 -0
- checkpoint-17400/random_states_0.pkl +3 -0
- checkpoint-17400/scheduler.bin +3 -0
- checkpoint-18850/controlnet/config.json +51 -0
- checkpoint-18850/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-18850/optimizer.bin +3 -0
- checkpoint-18850/random_states_0.pkl +3 -0
- checkpoint-18850/scheduler.bin +3 -0
- checkpoint-20300/controlnet/config.json +52 -0
- checkpoint-20300/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-20300/optimizer.bin +3 -0
- checkpoint-20300/random_states_0.pkl +3 -0
- checkpoint-20300/scheduler.bin +3 -0
- checkpoint-21750/controlnet/config.json +52 -0
- checkpoint-21750/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-21750/optimizer.bin +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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images_1.png filter=lfs diff=lfs merge=lfs -text
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images_3.png filter=lfs diff=lfs merge=lfs -text
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images_4.png filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: creativeml-openrail-m
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base_model: runwayml/stable-diffusion-v1-5
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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-LuyangZ/FloorAI
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These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
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You can find some example images below.
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prompt: floor plan, 4 rooms
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![images_0)](./images_0.png)
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prompt: floor plan, 3 rooms
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![images_1)](./images_1.png)
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prompt: floor plan, 2 rooms
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![images_2)](./images_2.png)
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prompt: floor plan, 2 rooms
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![images_3)](./images_3.png)
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prompt: floor plan, 3 rooms
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![images_4)](./images_4.png)
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checkpoint-10150/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.26.0.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": 8,
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"block_out_channels": [
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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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],
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"controlnet_conditioning_channel_order": "rgb",
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"cross_attention_dim": 768,
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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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"mid_block_type": "UNetMidBlock2DCrossAttn",
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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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"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": false
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}
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checkpoint-10150/controlnet/diffusion_pytorch_model.safetensors
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checkpoint-11600/controlnet/config.json
ADDED
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"encoder_hid_dim": null,
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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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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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|
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"use_linear_projection": false
|
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}
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checkpoint-11600/controlnet/diffusion_pytorch_model.safetensors
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checkpoint-11600/optimizer.bin
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checkpoint-13050/controlnet/config.json
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"controlnet_conditioning_channel_order": "rgb",
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"cross_attention_dim": 768,
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"down_block_types": [
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"in_channels": 4,
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|
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|
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}
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checkpoint-13050/controlnet/diffusion_pytorch_model.safetensors
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checkpoint-13050/optimizer.bin
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checkpoint-1450/controlnet/config.json
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