add run-sd-local arg
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README.md
23
README.md
@ -57,16 +57,19 @@ lama-cleaner --model=lama --device=cpu --port=8080
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Available arguments:
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Available arguments:
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| Name | Description | Default |
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| Name | Description | Default |
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| ----------------- | -------------------------------------------------------------------------------------------------------- | -------- |
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|-------------------|-------------------------------------------------------------------------------------------------------------------------------| -------- |
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| --model | lama/ldm/zits/mat/fcf/sd. See details in [Inpaint Model](#inpainting-model) | lama |
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| --model | lama/ldm/zits/mat/fcf/sd1.4 See details in [Inpaint Model](#inpainting-model) | lama |
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| --hf_access_token | stable-diffusion(sd) model need huggingface access token https://huggingface.co/docs/hub/security-tokens | |
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| --hf_access_token | stable-diffusion(sd) model need [huggingface access token](https://huggingface.co/docs/hub/security-tokens) to download model | |
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| --device | cuda or cpu | cuda |
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| --sd-run-local | Once the model as downloaded, you can pass this arg and remove `--hf_access_token` | |
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| --port | Port for backend flask web server | 8080 |
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| --sd-disable-nsfw | Disable stable-diffusion NSFW checker. | |
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| --gui | Launch lama-cleaner as a desktop application | |
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| --sd-cpu-textencoder | Always run stable-diffusion TextEncoder model on CPU. | |
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| --gui_size | Set the window size for the application | 1200 900 |
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| --device | cuda or cpu | cuda |
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| --input | Path to image you want to load by default | None |
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| --port | Port for backend flask web server | 8080 |
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| --debug | Enable debug mode for flask web server | |
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| --gui | Launch lama-cleaner as a desktop application | |
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| --gui_size | Set the window size for the application | 1200 900 |
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| --input | Path to image you want to load by default | None |
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| --debug | Enable debug mode for flask web server | |
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## Inpainting Model
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## Inpainting Model
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@ -70,7 +70,7 @@ class SD(InpaintModel):
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def init_model(self, device: torch.device, **kwargs):
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def init_model(self, device: torch.device, **kwargs):
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from .sd_pipeline import StableDiffusionInpaintPipeline
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from .sd_pipeline import StableDiffusionInpaintPipeline
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model_kwargs = {}
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model_kwargs = {"local_files_only": kwargs['sd_run_local']}
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if kwargs['sd_disable_nsfw']:
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if kwargs['sd_disable_nsfw']:
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logger.info("Disable Stable Diffusion Model NSFW checker")
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logger.info("Disable Stable Diffusion Model NSFW checker")
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model_kwargs.update(dict(
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model_kwargs.update(dict(
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@ -20,13 +20,18 @@ def parse_args():
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parser.add_argument(
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parser.add_argument(
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"--sd-disable-nsfw",
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"--sd-disable-nsfw",
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action="store_true",
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action="store_true",
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help="Disable Stable Diffusion nsfw checker",
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help="Disable Stable Diffusion NSFW checker",
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)
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)
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parser.add_argument(
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parser.add_argument(
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"--sd-cpu-textencoder",
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"--sd-cpu-textencoder",
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action="store_true",
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action="store_true",
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help="Always run Stable Diffusion TextEncoder model on CPU",
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help="Always run Stable Diffusion TextEncoder model on CPU",
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)
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)
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parser.add_argument(
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"--sd-run-local",
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action="store_true",
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help="After first time Stable Diffusion model downloaded, you can add this arg and remove --hf_access_token",
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)
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parser.add_argument("--device", default="cuda", type=str, choices=["cuda", "cpu"])
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parser.add_argument("--device", default="cuda", type=str, choices=["cuda", "cpu"])
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parser.add_argument("--gui", action="store_true", help="Launch as desktop app")
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parser.add_argument("--gui", action="store_true", help="Launch as desktop app")
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parser.add_argument(
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parser.add_argument(
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@ -48,7 +53,7 @@ def parse_args():
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if imghdr.what(args.input) is None:
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if imghdr.what(args.input) is None:
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parser.error(f"invalid --input: {args.input} is not a valid image file")
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parser.error(f"invalid --input: {args.input} is not a valid image file")
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if args.model.startswith("sd"):
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if args.model.startswith("sd") and not args.sd_run_local:
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if not args.hf_access_token.startswith("hf_"):
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if not args.hf_access_token.startswith("hf_"):
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parser.error(
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parser.error(
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f"sd(stable-diffusion) model requires huggingface access token. Check how to get token from: https://huggingface.co/docs/hub/security-tokens"
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f"sd(stable-diffusion) model requires huggingface access token. Check how to get token from: https://huggingface.co/docs/hub/security-tokens"
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@ -220,6 +220,7 @@ def main(args):
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hf_access_token=args.hf_access_token,
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hf_access_token=args.hf_access_token,
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sd_disable_nsfw=args.sd_disable_nsfw,
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sd_disable_nsfw=args.sd_disable_nsfw,
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sd_cpu_textencoder=args.sd_cpu_textencoder,
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sd_cpu_textencoder=args.sd_cpu_textencoder,
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sd_run_local=args.sd_run_local,
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callbacks=[diffuser_callback],
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callbacks=[diffuser_callback],
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)
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)
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