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ravi.naik
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Updated README & requirements.txt
Browse files- README.md +78 -2
- requirements.txt +0 -0
README.md
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---
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title: ERA SESSION20
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emoji: π
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colorFrom: indigo
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colorTo: pink
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license: mit
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---
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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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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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requirements.txt
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Binary files a/requirements.txt and b/requirements.txt differ
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