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Updated Negative prompt (markdown)

AUTOMATIC1111 2022-09-29 16:10:08 +03:00
parent 075d32eddb
commit 2cac0472ad
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Negative-prompt.md

@ -2,7 +2,7 @@ Negative prompt is a way to use the Stable Diffusion in a way that allows the us
The way negative prompt works is by using user-specified text instead of empty string for `unconditional_conditioning` when doing sampling.
Here's (simplified) code from [txt2img.py](https://github.com/CompVis/stable-diffusion/blob/main/scripts/txt2img.py):
Here's the (simplified) code from [txt2img.py](https://github.com/CompVis/stable-diffusion/blob/main/scripts/txt2img.py):
```python
# prompts = ["a castle in a forest"]
@ -14,7 +14,7 @@ uc = model.get_learned_conditioning(batch_size * [""])
samples_ddim, _ = sampler.sample(conditioning=c, unconditional_conditioning=uc, [...])
```
This launches sampler that repeatedly:
This launches the sampler that repeatedly:
- de-noises the picture guiding it to look more like your prompt (conditioning)
- de-noises the picture guiding it to look more like an empty prompt (unconditional_conditioning)
- looks at difference between those and uses it to produce a set of changes for the noisy picture (different samplers do that part differently)