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README.md
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pipeline=pipeline.to('cuda')
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```
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Image generation - Example #1:
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```python
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prompt="""A cube that looks like a <leaf microstructure>, with a wrap-around sign that says 'MATERIOMICS'.
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n_steps=25
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guidance_scale=5.
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all_images = []
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for _ in range(num_rows):
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image = pipeline(prompt,num_inference_steps=n_steps,num_images_per_prompt=num_samples,
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guidance_scale=guidance_scale,
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height=1024, width=1920,).images
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all_images.extend(image)
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grid = image_grid(all_images, num_rows, num_samples, save_individual_files=True, )
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grid
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```
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pipeline=pipeline.to('cuda')
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```
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Image generation - Example #1:
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```python
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prompt="""Generate a futuristic, eco-friendly architectural concept utilizing a biomimetic composite material that integrates the structural efficiency of spider silk with the adaptive porosity of plant tissues. Utilize the following key features:
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* Fibrous architecture inspired by spider silk, represented by sinuous lines and curved forms.
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* Interconnected, spherical nodes reminiscent of plant cell walls, emphasizing growth and adaptation.
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* Open cellular structures echoing the permeable nature of plant leaves, suggesting dynamic exchanges and self-regulation capabilities.
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* Gradations of opacity and transparency inspired by the varying densities found in plant tissues, highlighting functional differentiation and multi-functionality.
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"""
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num_samples =2
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num_rows = 2
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n_steps=25
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guidance_scale=3.5
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all_images = []
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for _ in range(num_rows):
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image = pipeline(prompt,num_inference_steps=n_steps,num_images_per_prompt=num_samples,
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guidance_scale=guidance_scale,).images
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all_images.extend(image)
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grid = image_grid(all_images, num_rows, num_samples, save_individual_files=True, )
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grid
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```
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Image generation - Example #2:
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```python
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prompt="""A cube that looks like a <leaf microstructure>, with a wrap-around sign that says 'MATERIOMICS'.
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n_steps=25
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guidance_scale=5.
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all_images = []
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for _ in range(num_rows):
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image = pipeline(prompt,num_inference_steps=n_steps,num_images_per_prompt=num_samples,
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guidance_scale=guidance_scale,
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height=1024, width=1920,).images
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all_images.extend(image)
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grid = image_grid(all_images, num_rows, num_samples, save_individual_files=True, )
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grid
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```
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Image generation - Example #3:
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```python
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prompt=prompt="""A sign with letters inspired by the patterns in <leaf microstructure>, it says "MATERIOMICS".
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The sign is placed in a stunning mountain landscape with snow. The photo is taken with a Sony A1 camera, bokeh, during the golden hour.
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"""
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num_samples =1
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num_rows = 1
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n_steps=25
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guidance_scale=5.
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all_images = []
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for _ in range(num_rows):
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image = pipeline(prompt,num_inference_steps=n_steps,num_images_per_prompt=num_samples,
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guidance_scale=guidance_scale,
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height=1024, width=1920,).images
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all_images.extend(image)
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grid = image_grid(all_images, num_rows, num_samples, save_individual_files=True, )
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grid
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```
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