xformers
InvokeAI
xformers | InvokeAI | |
---|---|---|
46 | 239 | |
7,631 | 21,337 | |
3.1% | 1.4% | |
9.3 | 10.0 | |
2 days ago | 5 days ago | |
Python | TypeScript | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
xformers
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Animediff error
(venv) G:\A1111\Animediff\animatediff-cli-prompt-travel>animatediff generate -c config/prompts/01-ToonYou.json -W 256 -H 384 -L 128 -C 16 WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: PyTorch 2.1.0+cu121 with CUDA 1201 (you have 2.0.1+cpu) Python 3.10.11 (you have 3.10.6) Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers) Memory-efficient attention, SwiGLU, sparse and more won't be available. Set XFORMERS_MORE_DETAILS=1 for more details G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\torchvision\io\image.py:13: UserWarning: Failed to load image Python extension: 'Could not find module 'G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\Lib\site-packages\torchvision\image.pyd' (or one of its dependencies). Try using the full path with constructor syntax.'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? warn( 15:07:25 INFO Using generation config: config\prompts\01-ToonYou.json cli.py:291 ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\src\animatediff\cli.py:292 in generate │ │ │ │ 289 │ │ │ 290 │ config_path = config_path.absolute() │ │ 291 │ logger.info(f"Using generation config: {path_from_cwd(config_path)}") │ │ ❱ 292 │ model_config: ModelConfig = get_model_config(config_path) │ │ 293 │ is_v2 = is_v2_motion_module(data_dir.joinpath(model_config.motion_module)) │ │ 294 │ infer_config: InferenceConfig = get_infer_config(is_v2) │ │ 295 │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\src\animatediff\settings.py:134 in │ │ get_model_config │ │ │ │ 131 │ │ 132 │ │ 133 def get_model_config(config_path: Path) -> ModelConfig: │ │ ❱ 134 │ settings = ModelConfig(json_config_path=config_path) │ │ 135 │ return settings │ │ 136 │ │ │ │ in pydantic.env_settings.BaseSettings.__init__:40 │ │ │ │ in pydantic.main.BaseModel.__init__:341 │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ ValidationError: 1 validation error for ModelConfig prompt extra fields not permitted (type=value_error.extra) (venv) G:\A1111\Animediff\animatediff-cli-prompt-travel>animatediff generate -c config/prompts/prompt1.json -W 256 -H 38 4 -L 128 -C 16 WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: PyTorch 2.1.0+cu121 with CUDA 1201 (you have 2.0.1+cpu) Python 3.10.11 (you have 3.10.6) Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers) Memory-efficient attention, SwiGLU, sparse and more won't be available. Set XFORMERS_MORE_DETAILS=1 for more details G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\torchvision\io\image.py:13: UserWarning: Failed to load image Python extension: 'Could not find module 'G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\Lib\site-packages\torchvision\image.pyd' (or one of its dependencies). Try using the full path with constructor syntax.'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? warn( 15:08:30 INFO Using generation config: config\prompts\prompt1.json cli.py:291 15:08:35 INFO is_v2=True util.py:361 INFO Using base model: runwayml\stable-diffusion-v1-5 cli.py:309 INFO Will save outputs to ./output\2023-10-30T15-08-35-epicrealism-epicrealism_naturalsinrc1vae cli.py:317 INFO Checking motion module... generate.py:331 INFO Loading tokenizer... generate.py:345 INFO Loading text encoder... generate.py:347 15:08:38 INFO Loading VAE... generate.py:349 INFO Loading UNet... generate.py:351 15:08:59 INFO Loaded 453.20928M-parameter motion module unet.py:578 15:09:00 INFO Using scheduler "euler_a" (EulerAncestralDiscreteScheduler) generate.py:363 INFO Loading weights from generate.py:368 G:\A1111\Animediff\animatediff-cli-prompt-travel\data\models\sd\epicrealism_naturalSin RC1VAE.safetensors ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\urllib3\connection.py:17 │ │ 4 in _new_conn │ │ │ │ 171 │ │ │ extra_kw["socket_options"] = self.socket_options │ │ 172 │ │ │ │ 173 │ │ try: │ │ ❱ 174 │ │ │ conn = connection.create_connection( │ │ 175 │ │ │ │ (self._dns_host, self.port), self.timeout, **extra_kw │ │ 176 │ │ │ ) │ │ 177 │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\urllib3\util\connection. │ │ py:95 in create_connection │ │ │ │ 92 │ │ │ │ sock = None │ │ 93 │ │ │ 94 │ if err is not None: │ │ ❱ 95 │ │ raise err │ │ 96 │ │ │ 97 │ raise socket.error("getaddrinfo returns an empty list") │ │ 98 │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\urllib3\util\connection. │ │ py:85 in create_connection │ │ │ │ 82 │ │ │ │ sock.settimeout(timeout) │ │ 83 │ │ │ if source_address: │ │ 84 │ │ │ │ sock.bind(source_address) │ │ ❱ 85 │ │ │ sock.connect(sa) │ │ 86 │ │ │ return sock │ │ 87 │ │ │ │ 88 │ │ except socket.error as e: │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ TimeoutError: [WinError 10060] A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond During handling of the above exception, another exception occurred: ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\urllib3\connectionpool.p │ │ y:703 in urlopen │ │ │ │ 700 │ │ │ │ self._prepare_proxy(conn) │ │ 701 │ │ │ │ │ 702 │ │ │ # Make the request on the httplib connection object. │ │ ❱ 703 │ │ │ httplib_response = self._make_request( │ │ 704 │ │ │ │ conn, │ │ 705 │ │ │ │ method, │ │ 706 │ │ │ │ url, │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\urllib3\connectionpool.p │ │ y:386 in _make_request │ │ │ │ 383 │ │ │ │ 384 │ │ # Trigger any extra validation we need to do. │ │ 385 │ │ try: │ │ ❱ 386 │ │ │ self._validate_conn(conn) │ │ 387 │ │ except (SocketTimeout, BaseSSLError) as e: │ │ 388 │ │ │ # Py2 raises this as a BaseSSLError, Py3 raises it as socket timeout. │ │ 389 │ │ │ self._raise_timeout(err=e, url=url, timeout_value=conn.timeout) │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\urllib3\connectionpool.p │ │ y:1042 in _validate_conn │ │ │ │ 1039 │ │ │ │ 1040 │ │ # Force connect early to allow us to validate the connection. │ │ 1041 │ │ if not getattr(conn, "sock", None): # AppEngine might not have `.sock` │ │ ❱ 1042 │ │ │ conn.connect() │ │ 1043 │ │ │ │ 1044 │ │ if not conn.is_verified: │ │ 1045 │ │ │ warnings.warn( │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\urllib3\connection.py:35 │ │ 8 in connect │ │ │ │ 355 │ │ │ 356 │ def connect(self): │ │ 357 │ │ # Add certificate verification │ │ ❱ 358 │ │ self.sock = conn = self._new_conn() │ │ 359 │ │ hostname = self.host │ │ 360 │ │ tls_in_tls = False │ │ 361 │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\urllib3\connection.py:17 │ │ 9 in _new_conn │ │ │ │ 176 │ │ │ ) │ │ 177 │ │ │ │ 178 │ │ except SocketTimeout: │ │ ❱ 179 │ │ │ raise ConnectTimeoutError( │ │ 180 │ │ │ │ self, │ │ 181 │ │ │ │ "Connection to %s timed out. (connect timeout=%s)" │ │ 182 │ │ │ │ % (self.host, self.timeout), │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ ConnectTimeoutError: (, 'Connection to raw.githubusercontent.com timed out. (connect timeout=None)') During handling of the above exception, another exception occurred: ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\requests\adapters.py:489 │ │ in send │ │ │ │ 486 │ │ │ │ 487 │ │ try: │ │ 488 │ │ │ if not chunked: │ │ ❱ 489 │ │ │ │ resp = conn.urlopen( │ │ 490 │ │ │ │ │ method=request.method, │ │ 491 │ │ │ │ │ url=url, │ │ 492 │ │ │ │ │ body=request.body, │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\urllib3\connectionpool.p │ │ y:787 in urlopen │ │ │ │ 784 │ │ │ elif isinstance(e, (SocketError, HTTPException)): │ │ 785 │ │ │ │ e = ProtocolError("Connection aborted.", e) │ │ 786 │ │ │ │ │ ❱ 787 │ │ │ retries = retries.increment( │ │ 788 │ │ │ │ method, url, error=e, _pool=self, _stacktrace=sys.exc_info()[2] │ │ 789 │ │ │ ) │ │ 790 │ │ │ retries.sleep() │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\urllib3\util\retry.py:59 │ │ 2 in increment │ │ │ │ 589 │ │ ) │ │ 590 │ │ │ │ 591 │ │ if new_retry.is_exhausted(): │ │ ❱ 592 │ │ │ raise MaxRetryError(_pool, url, error or ResponseError(cause)) │ │ 593 │ │ │ │ 594 │ │ log.debug("Incremented Retry for (url='%s'): %r", url, new_retry) │ │ 595 │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ MaxRetryError: HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /CompVis/stable-diffusion/main/configs/stable-diffusion/v1-inference.yaml (Caused by ConnectTimeoutError(, 'Connection to raw.githubusercontent.com timed out. (connect timeout=None)')) During handling of the above exception, another exception occurred: ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\src\animatediff\cli.py:326 in generate │ │ │ │ 323 │ global g_pipeline │ │ 324 │ global last_model_path │ │ 325 │ if g_pipeline is None or last_model_path != model_config.path.resolve(): │ │ ❱ 326 │ │ g_pipeline = create_pipeline( │ │ 327 │ │ │ base_model=base_model_path, │ │ 328 │ │ │ model_config=model_config, │ │ 329 │ │ │ infer_config=infer_config, │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\src\animatediff\generate.py:371 in │ │ create_pipeline │ │ │ │ 368 │ │ logger.info(f"Loading weights from {model_path}") │ │ 369 │ │ if model_path.is_file(): │ │ 370 │ │ │ logger.debug("Loading from single checkpoint file") │ │ ❱ 371 │ │ │ unet_state_dict, tenc_state_dict, vae_state_dict = get_checkpoint_weights(mo │ │ 372 │ │ elif model_path.is_dir(): │ │ 373 │ │ │ logger.debug("Loading from Diffusers model directory") │ │ 374 │ │ │ temp_pipeline = StableDiffusionPipeline.from_pretrained(model_path) │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\src\animatediff\utils\model.py:139 in │ │ get_checkpoint_weights │ │ │ │ 136 │ │ 137 def get_checkpoint_weights(checkpoint: Path): │ │ 138 │ temp_pipeline: StableDiffusionPipeline │ │ ❱ 139 │ temp_pipeline, _ = checkpoint_to_pipeline(checkpoint, save=False) │ │ 140 │ unet_state_dict = temp_pipeline.unet.state_dict() │ │ 141 │ tenc_state_dict = temp_pipeline.text_encoder.state_dict() │ │ 142 │ vae_state_dict = temp_pipeline.vae.state_dict() │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\src\animatediff\utils\model.py:124 in │ │ checkpoint_to_pipeline │ │ │ │ 121 │ if target_dir is None: │ │ 122 │ │ target_dir = pipeline_dir.joinpath(checkpoint.stem) │ │ 123 │ │ │ ❱ 124 │ pipeline = StableDiffusionPipeline.from_single_file( │ │ 125 │ │ pretrained_model_link_or_path=str(checkpoint.absolute()), │ │ 126 │ │ local_files_only=True, │ │ 127 │ │ load_safety_checker=False, │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\diffusers\loaders.py:147 │ │ 1 in from_single_file │ │ │ │ 1468 │ │ │ │ force_download=force_download, │ │ 1469 │ │ │ ) │ │ 1470 │ │ │ │ ❱ 1471 │ │ pipe = download_from_original_stable_diffusion_ckpt( │ │ 1472 │ │ │ pretrained_model_link_or_path, │ │ 1473 │ │ │ pipeline_class=cls, │ │ 1474 │ │ │ model_type=model_type, │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\diffusers\pipelines\stab │ │ le_diffusion\convert_from_ckpt.py:1234 in download_from_original_stable_diffusion_ckpt │ │ │ │ 1231 │ │ │ # only refiner xl has embedder and one text embedders │ │ 1232 │ │ │ config_url = "https://raw.githubusercontent.com/Stability-AI/generative-mode │ │ 1233 │ │ │ │ ❱ 1234 │ │ original_config_file = BytesIO(requests.get(config_url).content) │ │ 1235 │ │ │ 1236 │ original_config = OmegaConf.load(original_config_file) │ │ 1237 │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\requests\api.py:73 in │ │ get │ │ │ │ 70 │ :rtype: requests.Response │ │ 71 │ """ │ │ 72 │ │ │ ❱ 73 │ return request("get", url, params=params, **kwargs) │ │ 74 │ │ 75 │ │ 76 def options(url, **kwargs): │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\requests\api.py:59 in │ │ request │ │ │ │ 56 │ # avoid leaving sockets open which can trigger a ResourceWarning in some │ │ 57 │ # cases, and look like a memory leak in others. │ │ 58 │ with sessions.Session() as session: │ │ ❱ 59 │ │ return session.request(method=method, url=url, **kwargs) │ │ 60 │ │ 61 │ │ 62 def get(url, params=None, **kwargs): │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\requests\sessions.py:587 │ │ in request │ │ │ │ 584 │ │ │ "allow_redirects": allow_redirects, │ │ 585 │ │ } │ │ 586 │ │ send_kwargs.update(settings) │ │ ❱ 587 │ │ resp = self.send(prep, **send_kwargs) │ │ 588 │ │ │ │ 589 │ │ return resp │ │ 590 │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\requests\sessions.py:701 │ │ in send │ │ │ │ 698 │ │ start = preferred_clock() │ │ 699 │ │ │ │ 700 │ │ # Send the request │ │ ❱ 701 │ │ r = adapter.send(request, **kwargs) │ │ 702 │ │ │ │ 703 │ │ # Total elapsed time of the request (approximately) │ │ 704 │ │ elapsed = preferred_clock() - start │ │ │ │ G:\A1111\Animediff\animatediff-cli-prompt-travel\venv\lib\site-packages\requests\adapters.py:553 │ │ in send │ │ │ │ 550 │ │ │ if isinstance(e.reason, ConnectTimeoutError): │ │ 551 │ │ │ │ # TODO: Remove this in 3.0.0: see #2811 │ │ 552 │ │ │ │ if not isinstance(e.reason, NewConnectionError): │ │ ❱ 553 │ │ │ │ │ raise ConnectTimeout(e, request=request) │ │ 554 │ │ │ │ │ 555 │ │ │ if isinstance(e.reason, ResponseError): │ │ 556 │ │ │ │ raise RetryError(e, request=request) │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ ConnectTimeout: HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /CompVis/stable-diffusion/main/configs/stable-diffusion/v1-inference.yaml (Caused by ConnectTimeoutError(, 'Connection to raw.githubusercontent.com timed out. (connect timeout=None)')) (venv) G:\A1111\Animediff\animatediff-cli-prompt-travel>
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Colab | Errors when installing x-formers
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. fastai 2.7.12 requires torch<2.1,>=1.7, but you have torch 2.1.0+cu118 which is incompatible. torchaudio 2.0.2+cu118 requires torch==2.0.1, but you have torch 2.1.0+cu118 which is incompatible. torchdata 0.6.1 requires torch==2.0.1, but you have torch 2.1.0+cu118 which is incompatible. torchtext 0.15.2 requires torch==2.0.1, but you have torch 2.1.0+cu118 which is incompatible. torchvision 0.15.2+cu118 requires torch==2.0.1, but you have torch 2.1.0+cu118 which is incompatible. WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: PyTorch 2.1.0+cu121 with CUDA 1201 (you have 2.1.0+cu118) Python 3.10.13 (you have 3.10.12) Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers) Memory-efficient attention, SwiGLU, sparse and more won't be available. Set XFORMERS_MORE_DETAILS=1 for more details xformers version: 0.0.22.post3
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FlashAttention-2, 2x faster than FlashAttention
This enables V1. V2 is still yet to be integrated into xformers. The team replied saying it should happen this week.
See the relevant Github issue here: https://github.com/facebookresearch/xformers/issues/795
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Xformers issue
My Xformers doesnt work, any help see code. info ( Exception training model: 'Refer to https://github.com/facebookresearch/xformers for more information on how to install xformers'. ) or
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Having xformer troubles
ModuleNotFoundError: Refer to https://github.com/facebookresearch/xformers for more
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Question: these 4 crappy picture have been generated with the same seed and settings. Why they keep coming mildly different?
Xformers is a module that that can be used with Stable Diffusion. It decreases the memory required to generate an image as well as speeding things up. It works very well but there are two problems with Xformers:
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Stuck trying to update xformers
WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: PyTorch 1.13.1+cu117 with CUDA 1107 (you have 2.0.1+cu118) Python 3.10.9 (you have 3.10.7) Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers) Memory-efficient attention, SwiGLU, sparse and more won't be available. Set XFORMERS_MORE_DETAILS=1 for more details ================================================================================= You are running xformers 0.0.16rc425. The program is tested to work with xformers 0.0.17. To reinstall the desired version, run with commandline flag --reinstall-xformers. Use --skip-version-check commandline argument to disable this check. =================================================================================
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Question about updating Xformers for A1111
# Your version of xformers is 0.0.16rc425. # xformers >= 0.0.17.dev is required to be available on the Dreambooth tab. # Torch 1 wheels of xformers >= 0.0.17.dev are no longer available on PyPI, # but you can manually download them by going to: https://github.com/facebookresearch/xformers/actions # Click on the most recent action tagged with a release (middle column). # Select a download based on your environment. # Unzip your download # Activate your venv and install the wheel: (from A1111 project root) cd venv/Scripts activate pip install {REPLACE WITH PATH TO YOUR UNZIPPED .whl file} # Then restart your project.
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Is there a Pygmalion roadmap?
Further reading/resources: RedPajama: https://www.together.xyz/blog/redpajama xFormers: https://github.com/facebookresearch/xformers Flash Attention: https://arxiv.org/abs/2205.14135 Sparsity [NEW!]: https://arxiv.org/abs/2304.07613
- Slow/short replies?
InvokeAI
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Stable Diffusion 3
Probably not, since I have no idea what you're talking about. I've just been using the models that InvokeAI (2.3, I only just now saw there's a 3.0) downloads for me [0]. The SD1.5 one is as good as ever, but the SD2 model introduces artifacts on (many, but not all) faces and copyrighted characters.
[0] https://github.com/invoke-ai/InvokeAI
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
I actually used the rocm/pytorch image you also linked.
I'm not sure what you're pointing to with your reference to the Fedora-based images. I'm quite happy with my NixOS install and really don't want to switch to anything else. And as long as I have the correct kernel module, my host OS really shouldn't matter to run any of the images.
And I'm sure it can be made to work with many base images, my point was just that the dependency management around pytorch was in a bad state, where it is extremely easy to break.
> Anyways, hopefully this PR fixes the immediate issue: https://github.com/invoke-ai/InvokeAI/pull/5714/files
It does! At least for me. It is my PR after all ;)
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Can some expert analyze a github repo and tell us if it's really safe or not?
The data being flagged is not in that github repo, it's fetched from elsewhere and I don't fancy spending time looking for it. The alert is for 'Sirefef!cfg' which has been reported as a false positive with a bunch of other stable diffusion projects (https://www.reddit.com/r/StableDiffusion/comments/101zjec/trojanwin32sirefefcfg_an_apparently_common_false/, https://www.reddit.com/r/StableDiffusion/comments/xmhukb/trojan_in_waifudiffusion_model_file/, https://github.com/invoke-ai/InvokeAI/issues/2773 )
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What is the most effcient port of SD to mac?
I haven’t tried it recently, but InvokeAI runs on Mac. Invoke. I used to run on my MacBook, but have since gotten a Win laptop.
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Easy Stable Diffusion XL in your device, offline
There are already a number of local, inference options that are (crucially) open-source, with more robust feature sets.
And if the defense here is "but Auto1111 and Comfy don't have as user-friendly a UI", that's also already covered. https://github.com/invoke-ai/InvokeAI
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Ask HN: Selfhosted ChatGPT and Stable-diffusion like alternatives?
https://github.com/invoke-ai/InvokeAI should work on your machine. For LLM models, the smaller ones should run using llama.cpp, but I don't think you'll be happy comparing them to ChatGPT.
- 🚀 InvokeAI 3.4 now supports LCM & LCM-LoRAs and much more!
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Best ai image generator without a nsfw filter?
Stable Diffusion. /r/stablediffusion There are many tutorials on how to set it up locally and use it. InvokeAI is the easiest way to set it up. https://github.com/invoke-ai/InvokeAI
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What's the best stable diffusion client for base m1 MacBook air?
InvokeAI
- invoke-ai/InvokeAI
What are some alternatives?
flash-attention - Fast and memory-efficient exact attention
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion
SHARK - SHARK - High Performance Machine Learning Distribution
ControlNet - Let us control diffusion models!
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
dreambooth-gui
stablediffusion - High-Resolution Image Synthesis with Latent Diffusion Models
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM