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--- |
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title: "ERA SESSION20 - Stable Diffusion: Generative Art with Guidance" |
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emoji: π |
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colorFrom: indigo |
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colorTo: pink |
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sdk: gradio |
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sdk_version: 3.48.0 |
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app_file: app.py |
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pinned: false |
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license: mit |
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--- |
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**Styles Used:** |
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1. [Oil style](https://huggingface.co/sd-concepts-library/oil-style) |
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2. [Xyz](https://huggingface.co/sd-concepts-library/xyz) |
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3. [Allante](https://huggingface.co/sd-concepts-library/style-of-marc-allante) |
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4. [Moebius](https://huggingface.co/sd-concepts-library/moebius) |
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5. [Polygons](https://huggingface.co/sd-concepts-library/low-poly-hd-logos-icons) |
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### Result of Experiments with different styles: |
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**Prompt:** `"a cat and dog in the style of cs"` \ |
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_"cs" in the prompt refers to "custom style" whose embedding is replaced by each of the concept embeddings shown below_ |
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![image](https://github.com/RaviNaik/ERA-SESSION20/assets/23289802/1effe375-6ef4-4adc-be7b-d6311fdaa50d) |
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--- |
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**Prompt:** `"dolphin swimming on Mars in the style of cs"` |
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![image](https://github.com/RaviNaik/ERA-SESSION20/assets/23289802/2cd32248-4233-42c0-97c0-00e1ae8fdc85) |
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### Result of Experiments with Guidance loss functions: |
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**Prompt:** `"a mouse in the style of cs"` |
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**Loss Function:** |
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```python |
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def loss_fn(images): |
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return images.mean() |
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``` |
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![image](https://github.com/RaviNaik/ERA-SESSION20/assets/23289802/c9d46e14-44bb-4ea7-88a4-26ef46344fce) |
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--- |
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```python |
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def loss_fn(images): |
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return -images.median()/3 |
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``` |
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![image](https://github.com/RaviNaik/ERA-SESSION20/assets/23289802/2649e4f6-3de5-4e54-8f22-3d65874b7b07) |
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--- |
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```python |
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def loss_fn(images): |
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error = (images - images.min()) / 255*(images.max() - images.min()) |
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return error.mean() |
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``` |
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![image](https://github.com/RaviNaik/ERA-SESSION20/assets/23289802/6399c780-e9b7-42f8-8d90-44c8b40d5265) |
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--- |
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**Prompt:** `"angry german shephard in the style of cs"` |
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```python |
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def loss_fn(images): |
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error1 = torch.abs(images[:, 0] - 0.9) |
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error2 = torch.abs(images[:, 1] - 0.9) |
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error3 = torch.abs(images[:, 2] - 0.9) |
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return ( |
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torch.sin(error1.mean()) + torch.sin(error2.mean()) + torch.sin(error3.mean()) |
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) / 3 |
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``` |
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![image](https://github.com/RaviNaik/ERA-SESSION20/assets/23289802/fa7d30ed-4efd-4504-b89c-94e093f51f9c) |
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--- |
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**Prompt:** `"A campfire (oil on canvas)"` |
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```python |
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def loss_fn(images): |
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error1 = torch.abs(images[:, 0] - 0.9) |
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error2 = torch.abs(images[:, 1] - 0.9) |
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error3 = torch.abs(images[:, 2] - 0.9) |
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return ( |
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torch.sin((error1 * error2 * error3)).mean() |
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+ torch.cos((error1 * error2 * error3)).mean() |
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) |
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``` |
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![image](https://github.com/RaviNaik/ERA-SESSION20/assets/23289802/88382dae-6701-4103-a664-ed17727b690f) |
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--- |
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```python |
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def loss_fn(images): |
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error1 = torch.abs(images[:, 0] - 0.9) |
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error2 = torch.abs(images[:, 1] - 0.9) |
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error3 = torch.abs(images[:, 2] - 0.9) |
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return ( |
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torch.sin(error1.mean()) + torch.sin(error2.mean()) + torch.sin(error3.mean()) |
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) / 3 |
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``` |
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![image](https://github.com/RaviNaik/ERA-SESSION20/assets/23289802/0ab3edad-579d-4821-b992-6c18b61bd444) |
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