End of training

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: CompVis/stable-diffusion-v1-4
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- textual_inversion
+inference: true
+---
+    
+# Textual inversion text2image fine-tuning - Govern/textual_inversion_nailong
+These are textual inversion adaption weights for CompVis/stable-diffusion-v1-4. You can find some example images in the following. 
+
+

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tokenizer/added_tokens.json

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tokenizer/special_tokens_map.json

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unet/config.json

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+}

unet/diffusion_pytorch_model.bin

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vae/config.json

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+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.17.1",
+  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "act_fn": "silu",
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+    256,
+    512,
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+    "DownEncoderBlock2D",
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+  "latent_channels": 4,
+  "layers_per_block": 2,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 512,
+  "scaling_factor": 0.18215,
+  "up_block_types": [
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+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ]
+}