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Documentation for negative prompts (#668)

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Documentation for pull lstein#661, and splits prompt docs into a separate file.
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Brent Ozar
2022-09-18 06:50:19 -07:00
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commit ea2b0828d8
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docs/features/OTHER.md
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@ -28,32 +28,6 @@ dream> "pond garden with lotus by claude monet" --seamless -s100 -n4
---
## **Reading Prompts from a File**
You can automate `dream.py` by providing a text file with the prompts you want to run, one line per
prompt. The text file must be composed with a text editor (e.g. Notepad) and not a word processor.
Each line should look like what you would type at the dream> prompt:
```bash
a beautiful sunny day in the park, children playing -n4 -C10
stormy weather on a mountain top, goats grazing -s100
innovative packaging for a squid's dinner -S137038382
```
Then pass this file's name to `dream.py` when you invoke it:
```bash
(ldm) ~/stable-diffusion$ python3 scripts/dream.py --from_file "path/to/prompts.txt"
```
You may read a series of prompts from standard input by providing a filename of `-`:
```bash
(ldm) ~/stable-diffusion$ echo "a beautiful day" | python3 scripts/dream.py --from_file -
```
---
## **Shortcuts: Reusing Seeds**
Since it is so common to reuse seeds while refining a prompt, there is now a shortcut as of version
@ -79,22 +53,6 @@ outputs/img-samples/000040.3498014304.png: "a cute child playing hopscotch" -G1.
---
## **Weighted Prompts**
You may weight different sections of the prompt to tell the sampler to attach different levels of
priority to them, by adding `:(number)` to the end of the section you wish to up- or downweight. For
example consider this prompt:
```bash
tabby cat:0.25 white duck:0.75 hybrid
```
This will tell the sampler to invest 25% of its effort on the tabby cat aspect of the image and 75%
on the white duck aspect (surprisingly, this example actually works). The prompt weights can use any
combination of integers and floating point numbers, and they do not need to add up to 1.
---
## **Simplified API**
For programmers who wish to incorporate stable-diffusion into other products, this repository