End of training

README.md

@@ -14,7 +14,7 @@ inference: true
     
 # Text-to-image finetuning - MaxReynolds/MyPatternModel
 
-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: ['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/MyPatternModel", torch_dtype=torch.float16)
-prompt = "Rocket Launcher by Lee Souder"
+prompt = ",<r4nd0m-l4b3l>"
 image = pipeline(prompt).images[0]
 image.save("my_image.png")
 ```
@@ -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/4saze942).
+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/8v2yfdkf).

unet/diffusion_pytorch_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:371c140ab76858085f1a81995f7e78a11e19deee8d93481373a8a6b7b98f4364
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