Create README.md

README.md

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+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-2-1
+datasets:
+- fantasyfish/laion-art
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+inference: true
+---
+    
+# Text-to-image finetuning - Vishnou/sd-laion-art
+
+This pipeline was finetuned from **stabilityai/stable-diffusion-2-1** on the **fantasyfish/laion-art** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['A man in a suit']: 
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+![val_imgs_grid](./val_imgs_grid.png)
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+## Pipeline usage
+
+You can use the pipeline like so:
+
+```python
+from diffusers import DiffusionPipeline
+import torch
+
+pipeline = DiffusionPipeline.from_pretrained("Vishnou/sd-laion-art", torch_dtype=torch.float16)
+prompt = "A man in a suit"
+image = pipeline(prompt).images[0]
+image.save("my_image.png")
+```
+
+## Training info
+
+These are the key hyperparameters used during training:
+
+* Epochs: 32
+* Learning rate: 1e-05
+* Batch size: 16
+* Gradient accumulation steps: 4
+* Image resolution: 512
+* Mixed-precision: None
+
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+
+More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/vishnou/text2image-fine-tune/runs/2x8jqvkp).