End of training

README.md

@@ -3,7 +3,7 @@
 license: creativeml-openrail-m
 base_model: CompVis/stable-diffusion-v1-4
 datasets:
-- MaxReynolds/Lee_Souder_Combined
+- MaxReynolds/MyPatternDataset
 tags:
 - stable-diffusion
 - stable-diffusion-diffusers
@@ -14,7 +14,7 @@ inference: true
     
 # Text-to-image finetuning - MaxReynolds/MyStreamlitModel
 
-This pipeline was finetuned from **CompVis/stable-diffusion-v1-4** on the **MaxReynolds/Lee_Souder_Combined** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['Rocket Launcher by Lee Souder']: 
+This pipeline was finetuned from **CompVis/stable-diffusion-v1-4** on the **MaxReynolds/MyPatternDataset** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['<r4nd0m-l4b3l>']: 
 
 ![val_imgs_grid](./val_imgs_grid.png)
 
@@ -28,7 +28,7 @@ from diffusers import DiffusionPipeline
 import torch
 
 pipeline = DiffusionPipeline.from_pretrained("MaxReynolds/MyStreamlitModel", torch_dtype=torch.float16)
-prompt = "Rocket Launcher by Lee Souder"
+prompt = "<r4nd0m-l4b3l>"
 image = pipeline(prompt).images[0]
 image.save("my_image.png")
 ```
@@ -37,7 +37,7 @@ image.save("my_image.png")
 
 These are the key hyperparameters used during training:
 
-* Epochs: 40
+* Epochs: 42
 * Learning rate: 1e-05
 * Batch size: 1
 * Gradient accumulation steps: 4
@@ -45,4 +45,4 @@ These are the key hyperparameters used during training:
 * Mixed-precision: fp16
 
 
-More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/max-f-reynolds/text2image-fine-tune/runs/8u9r6b5p).
+More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/max-f-reynolds/text2image-fine-tune/runs/su62a0vp).

unet/diffusion_pytorch_model.safetensors

@@ -1,3 +1,3 @@
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