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Replace --full_precision with --precision that works even if not specified
Allowed values are 'auto', 'float32', 'autocast', 'float16'. If not specified or 'auto' a working precision is automatically selected based on the torch device. Context: #526 Deprecated --full_precision / -F Tested on both cuda and cpu by calling scripts/dream.py without arguments and checked the auto configuration worked. With --precision=auto/float32/autocast/float16 it performs as expected, either working or failing with a reasonable error. Also checked Img2Img.
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committed by
Lincoln Stein
parent
30de9fcfae
commit
d176fb07cd
@ -74,7 +74,7 @@ prompt arguments] (#list-of-prompt-arguments). Others
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| --prompt_as_dir | -p | False | Name output directories using the prompt text. |
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| --from_file <path> | | None | Read list of prompts from a file. Use "-" to read from standard input |
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| --model <modelname> | | stable-diffusion-1.4 | Loads model specified in configs/models.yaml. Currently one of "stable-diffusion-1.4" or "laion400m" |
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| --full_precision | -F | False | Run in slower full-precision mode. Needed for Macintosh M1/M2 hardware and some older video cards. |
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| --precision <pname> | | auto | Set to a specific precision. Rare but you may need to switch to 'float32' on some video cards. |
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| --web | | False | Start in web server mode |
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| --host <ip addr> | | localhost | Which network interface web server should listen on. Set to 0.0.0.0 to listen on any. |
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| --port <port> | | 9090 | Which port web server should listen for requests on. |
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@ -57,9 +57,7 @@ Once the model is trained, specify the trained .pt or .bin file when starting
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dream using
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```bash
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python3 ./scripts/dream.py \
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--embedding_path /path/to/embedding.pt \
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--full_precision
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python3 ./scripts/dream.py --embedding_path /path/to/embedding.pt
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```
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Then, to utilize your subject at the dream prompt
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@ -62,15 +62,12 @@ You wil need one of the following:
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### Note
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If you are have a Nvidia 10xx series card (e.g. the 1080ti), please run the dream script in
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full-precision mode as shown below.
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Similarly, specify full-precision mode on Apple M1 hardware.
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To run in full-precision mode, start `dream.py` with the `--full_precision` flag:
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Precision is auto configured based on the device. If however you encounter
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errors like 'expected type Float but found Half' or 'not implemented for Half'
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you can try starting `dream.py` with the `--precision=float32` flag:
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```bash
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(ldm) ~/stable-diffusion$ python scripts/dream.py --full_precision
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(ldm) ~/stable-diffusion$ python scripts/dream.py --precision=float32
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```
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## Features
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@ -98,6 +95,11 @@ To run in full-precision mode, start `dream.py` with the `--full_precision` flag
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## Latest Changes
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### vNEXT <small>(TODO 2022)</small>
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- Deprecated `--full_precision` / `-F`. Simply omit it and `dream.py` will auto
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configure. To switch away from auto use the new flag like `--precision=float32`.
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### v1.14 <small>(11 September 2022)</small>
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- Memory optimizations for small-RAM cards. 512x512 now possible on 4 GB GPUs.
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@ -97,7 +97,7 @@ conda activate ldm
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python scripts/preload_models.py
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# run SD!
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python scripts/dream.py --full_precision # half-precision requires autocast and won't work
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python scripts/dream.py
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# or run the web interface!
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python scripts/dream.py --web
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@ -453,5 +453,3 @@ Abort trap: 6
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warnings.warn('resource_tracker: There appear to be %d '
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```
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Macs do not support `autocast/mixed-precision`, so you need to supply
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`--full_precision` to use float32 everywhere.
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