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 +47 -0
- checkpoint-1000/controlnet/config.json +56 -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 +56 -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 +56 -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 +56 -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 +56 -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 +56 -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 +56 -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 +56 -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 +56 -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-2000/controlnet/config.json +56 -0
- checkpoint-2000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-2000/optimizer.bin +3 -0
.gitattributes
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@@ -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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images_0.png 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_2.png filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: stabilityai/stable-diffusion-2-1-base
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library_name: diffusers
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license: creativeml-openrail-m
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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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- diffusers-training
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inference: true
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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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should probably proofread and complete it, then remove this comment. -->
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# controlnet-FQiao/model_out_3channels_rgb
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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: there is a chair and a chair in a room with a tile floor
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![images_0)](./images_0.png)
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prompt: there is a chair and a chair in a room with a tile floor at night
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![images_1)](./images_1.png)
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prompt: there is a hallway with a carpet and a blue rug
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![images_2)](./images_2.png)
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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checkpoint-1000/controlnet/config.json
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.31.0.dev0",
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"act_fn": "silu",
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"addition_embed_type_num_heads": 64,
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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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"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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"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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}
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checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors
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checkpoint-11000/controlnet/config.json
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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}
|
checkpoint-11000/controlnet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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