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fixing formatting in readme

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Lincoln Stein 2022-08-16 21:40:40 -04:00
parent d6124c44a3
commit 2b8261c7ea
1 changed files with 32 additions and 24 deletions
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README.md
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@ -29,28 +29,33 @@ fast.
Note that this has only been tested in the Linux environment!
(ldm) ~/stable-diffusion$ ./scripts/dream.py
* Initializing, be patient...
~~~~
(ldm) ~/stable-diffusion$ ./scripts/dream.py
* Initializing, be patient...
Loading model from models/ldm/text2img-large/model.ckpt
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 872.30 M params.
making attention of type 'vanilla' with 512 in_channels
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla' with 512 in_channels
Loading Bert tokenizer from "models/bert"
setting sampler to plms
Loading model from models/ldm/text2img-large/model.ckpt
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 872.30 M params.
making attention of type 'vanilla' with 512 in_channels
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla' with 512 in_channels
Loading Bert tokenizer from "models/bert"
setting sampler to plms
* Initialization done! Awaiting your command...
dream> ashley judd riding a camel -n2
Outputs:
outputs/txt2img-samples/00009.png: "ashley judd riding a camel" -n2 -S 416354203
outputs/txt2img-samples/00010.png: "ashley judd riding a camel" -n2 -S 1362479620
* Initialization done! Awaiting your command...
dream> ashley judd riding a camel -n2
Outputs:
outputs/txt2img-samples/00009.png: "ashley judd riding a camel" -n2 -S 416354203
outputs/txt2img-samples/00010.png: "ashley judd riding a camel" -n2 -S 1362479620
dream> "your prompt here" -n6 -g
...
~~~~
Command-line arguments ("./scripts/dream.py -h") allow you to change
Command-line arguments (`./scripts/dream.py -h`) allow you to change
various defaults, and select between the mature stable-diffusion
weights (512x512) and the older (256x256) latent diffusion weights
(laion400m).
(laion400m). Within the script, the switches are (mostly) identical to
those used in the Discord bot, except you don't need to type "!dream".
## No need for internet connectivity when loading the model
@ -64,11 +69,13 @@ expedient thing to do was to download the Bert tokenizer in advance,
and patch stable-diffusion to read it from the local disk. The steps
to do this are:
(ldm) ~/stable-diffusion$ mkdir ./models/bert
> python3
>>> from transformers import BertTokenizerFast
>>> model = BertTokenizerFast.from_pretrained("bert-base-uncased")
>>> model.save_pretrained("./models/bert")
~~~~
(ldm) ~/stable-diffusion$ mkdir ./models/bert
> python3
>>> from transformers import BertTokenizerFast
>>> model = BertTokenizerFast.from_pretrained("bert-base-uncased")
>>> model.save_pretrained("./models/bert")
~~~~
(Make sure you are in the stable-diffusion directory when you do
this!)
@ -85,9 +92,10 @@ I added the requirement for torchmetrics to environment.yaml.
Follow the directions from the original README, which starts below, to
configure the environment and install requirements. For support,
please use this repository's GitHub Issues tracking service.
please use this repository's GitHub Issues tracking service. Feel free
to send me an email if you use and like the script.
Author: Lincoln D. Stein <lincoln.stein@gmail.com>
*Author:* Lincoln D. Stein <lincoln.stein@gmail.com>
# Original README from CompViz/stable-diffusion
*Stable Diffusion was made possible thanks to a collaboration with [Stability AI](https://stability.ai/) and [Runway](https://runwayml.com/) and builds upon our previous work:*