End of training

README.md

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+
+    ---
+    license: creativeml-openrail-m
+    base_model: stabilityai/stable-diffusion-2-1
+    datasets:
+    - lambdalabs/pokemon-blip-captions
+    tags:
+    - stable-diffusion
+    - stable-diffusion-diffusers
+    - text-to-image
+    - diffusers
+    inference: true
+    ---
+    
+    # Text-to-image finetuning - mbiskho/text-to-image
+
+    ## Pipeline usage
+
+    You can use the pipeline like so:
+
+    ```python
+    from diffusers import DiffusionPipeline
+    import torch
+
+    pipeline = DiffusionPipeline.from_pretrained("mbiskho/text-to-image", torch_dtype=torch.float16)
+    image = pipeline(prompt).images[0]
+    image.save("my_image.png")
+    ```
+
+    ## Training info
+
+    These are the key hyperparameters used during training:
+
+    * Epochs: 1
+    * Learning rate: 0.0001
+    * Batch size: 1
+    * Gradient accumulation steps: 1
+    * Image resolution: 10
+    * Mixed-precision: None
+
+    

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+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  },
+  "use_square_size": false
+}

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