Update README.md
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README.md
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README.md
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@ -32,19 +32,49 @@ To run multiple transition between K prompts, resulting in a stitched video, run
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## Most relevant parameters
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set_height
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### Change the height/width
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```python
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lb.set_height(512)
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lb.set_width(1024)
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```
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### Change guidance scale
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```python
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lb.set_guidance_scale(5.0)
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```
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### depth_strength / list_injection_strength
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The strength dictates how early the blending process starts. The closer its value is to zero, the more inventive the results will be; whereas, a value closer to one indicates a more simple alpha blending.
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## Set up the branching structure
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There are three ways to change the branching structure.
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### Use a preset
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### Presets
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```python
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quality = 'medium' #choose from lowest, low, medium, high, ultra
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depth_strength = 0.5 # see above (Most relevant parameters)
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lb.load_branching_profile(quality, depth_strength)
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```
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### Autosetup tree setup
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```python
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num_inference_steps = 30 # the number of diffusion steps
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list_nmb_branches = [2, 4, 8, 20]
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list_injection_strength = [0.0, 0.3, 0.5, 0.9]
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lb.autosetup_branching(num_inference_steps, list_nmb_branches, list_injection_strength)
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```
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### Fully manual
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```python
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depth_strength = 0.5 # see above (Most relevant parameters)
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num_inference_steps = 30 # the number of diffusion steps
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nmb_branches_final = 20 # how many diffusion images will be generated for the transition
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lb.setup_branching(depth_strength, num_inference_steps, nmb_branches_final)
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```
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# Installation
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#### Packages
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