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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+image_0.png filter=lfs diff=lfs merge=lfs -text
+image_1.png filter=lfs diff=lfs merge=lfs -text
+image_2.png filter=lfs diff=lfs merge=lfs -text
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.ipynb_checkpoints/README-checkpoint.md

@@ -0,0 +1,24 @@
+
+---
+license: creativeml-openrail-m
+base_model: recoilmex/ColorfulSSD-1B_v08
+dataset: recoilme/colorful_s_1024
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+inference: true
+---
+    
+# Text-to-image finetuning - recoilme/ColorfulSSD-1B_v09
+
+This pipeline was finetuned from **/workspace/ColorfulSSD-1B_v08** on the **recoilme/colorful_s_1024** dataset. Below are some example images generated with the finetuned pipeline using the following prompt: beautiful woman and her elegant cat, hyper realistic, ambient lighting: 
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
+
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

.ipynb_checkpoints/model_index-checkpoint.json

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+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.23.0",
+  "_name_or_path": "/workspace/ColorfulSSD-1B_v08",
+  "force_zeros_for_empty_prompt": true,
+  "scheduler": [
+    "diffusers",
+    "EulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "CLIPTextModelWithProjection"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

README.md

@@ -0,0 +1,24 @@
+
+---
+license: creativeml-openrail-m
+base_model: recoilmex/ColorfulSSD-1B_v08
+dataset: recoilme/colorful_s_1024
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+inference: true
+---
+    
+# Text-to-image finetuning - recoilme/ColorfulSSD-1B_v09
+
+This pipeline was finetuned from **/workspace/ColorfulSSD-1B_v08** on the **recoilme/colorful_s_1024** dataset. Below are some example images generated with the finetuned pipeline using the following prompt: beautiful woman and her elegant cat, hyper realistic, ambient lighting: 
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
+
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

model_index.json

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+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.23.0",
+  "_name_or_path": "/workspace/ColorfulSSD-1B_v08",
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+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_config.json

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+  "interpolation_type": "linear",
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
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+  "timestep_spacing": "leading",
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+  "use_karras_sigmas": false
+}

text_encoder/config.json

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+  "torch_dtype": "float16",
+  "transformers_version": "4.35.2",
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+}

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text_encoder_2/config.json

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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tokenizer_2/special_tokens_map.json

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tokenizer_2/tokenizer_config.json

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+}

unet/config.json

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vae/config.json

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