End of training
Browse files- README.md +2 -6
- feature_extractor/preprocessor_config.json +1 -1
- model_index.json +1 -1
- safety_checker/config.json +1 -1
- safety_checker/model.safetensors +1 -1
- text_encoder/model.safetensors +1 -1
- unet/config.json +1 -0
- unet/diffusion_pytorch_model.safetensors +1 -1
- vae/config.json +2 -2
- vae/diffusion_pytorch_model.safetensors +1 -1
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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instance_prompt:
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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# DreamBooth - oljike/jdtlr
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This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on
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You can find some example images in the following.
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![img_0](./image_0.png)
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![img_1](./image_1.png)
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![img_2](./image_2.png)
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![img_3](./image_3.png)
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DreamBooth for the text encoder was enabled: True.
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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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+
instance_prompt: concepts_dict[instance_prompt]
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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# DreamBooth - oljike/jdtlr
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+
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on concepts_dict[instance_prompt] using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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DreamBooth for the text encoder was enabled: True.
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feature_extractor/preprocessor_config.json
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@@ -14,7 +14,7 @@
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0.4578275,
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0.40821073
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],
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"image_processor_type": "
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"image_std": [
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0.26862954,
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0.26130258,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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model_index.json
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"_name_or_path": "runwayml/stable-diffusion-v1-5",
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"feature_extractor": [
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"transformers",
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"
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],
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"requires_safety_checker": true,
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"safety_checker": [
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"_name_or_path": "runwayml/stable-diffusion-v1-5",
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"feature_extractor": [
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"transformers",
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"CLIPImageProcessor"
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],
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"requires_safety_checker": true,
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"safety_checker": [
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safety_checker/config.json
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@@ -1,5 +1,5 @@
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{
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-
"_name_or_path": "/root/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/
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"architectures": [
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"StableDiffusionSafetyChecker"
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],
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{
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"_name_or_path": "/root/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/1d0c4ebf6ff58a5caecab40fa1406526bca4b5b9/safety_checker",
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"architectures": [
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"StableDiffusionSafetyChecker"
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],
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safety_checker/model.safetensors
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text_encoder/model.safetensors
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unet/config.json
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"sample_size": 64,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"reverse_transformer_layers_per_block": null,
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"sample_size": 64,
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unet/diffusion_pytorch_model.safetensors
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vae/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.22.0.dev0",
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"_name_or_path": "/root/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/
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"act_fn": "silu",
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"block_out_channels": [
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128,
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"layers_per_block": 2,
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"norm_num_groups": 32,
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"out_channels": 3,
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"scaling_factor": 0.18215,
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"up_block_types": [
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"block_out_channels": [
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"UpDecoderBlock2D",
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vae/diffusion_pytorch_model.safetensors
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