A matching Triton is not available, some optimizations will not be enabled

[sbuldan]

I am on windows 10 with a rtx 3090 Installed triton manualy but not sure installed it in the right folder or correct version. I need some help here.

Running 1 job Z:\SDZ\ai-toolkit\venv\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead. torch.utils._pytree._register_pytree_node( Z:\SDZ\ai-toolkit\venv\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead. torch.utils._pytree._register_pytree_node( A matching Triton is not available, some optimizations will not be enabled Traceback (most recent call last): File "Z:\SDZ\ai-toolkit\venv\lib\site-packages\xformers__init__.py", line 55, in _is_triton_available from xformers.triton.softmax import softmax as triton_softmax # noqa File "Z:\SDZ\ai-toolkit\venv\lib\site-packages\xformers\triton\softmax.py", line 14, in from xformers.triton.k_softmax import _softmax, _softmax_backward File "Z:\SDZ\ai-toolkit\venv\lib\site-packages\xformers\triton\k_softmax.py", line 8, in import triton.language as tl ModuleNotFoundError: No module named 'triton.language' Z:\SDZ\ai-toolkit\venv\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead. torch.utils._pytree._register_pytree_node( Z:\SDZ\ai-toolkit\venv\lib\site-packages\diffusers\models\unet_2d_condition.py:20: FutureWarning: UNet2DConditionOutput is deprecated and will be removed in version 0.29. Importing UNet2DConditionOutput from diffusers.models.unet_2d_condition is deprecated and this will be removed in a future version. Please use from diffusers.models.unets.unet_2d_condition import UNet2DConditionOutput, instead. deprecate("UNet2DConditionOutput", "0.29", deprecation_message) Z:\SDZ\ai-toolkit\venv\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead. torch.utils._pytree._register_pytree_node( Z:\SDZ\ai-toolkit\venv\lib\site-packages\diffusers\models\unet_2d_condition.py:25: FutureWarning: UNet2DConditionModel is deprecated and will be removed in version 0.29. Importing UNet2DConditionModel from diffusers.models.unet_2d_condition is deprecated and this will be removed in a future version. Please use from diffusers.models.unets.unet_2d_condition import UNet2DConditionModel, instead. deprecate("UNet2DConditionModel", "0.29", deprecation_message) { "type": "slider", "network": { "type": "lierla", "linear": 8, "linear_alpha": 4 }, "train": { "noise_scheduler": "ddpm", "steps": 500, "lr": 0.0002, "gradient_checkpointing": true, "train_unet": true, "train_text_encoder": false, "min_snr_gamma": 5.0, "optimizer": "adamw", "lr_scheduler": "constant", "max_denoising_steps": 40, "batch_size": 1, "dtype": "bf16", "noise_offset": 0.0357 }, "model": { "name_or_path": "./albedobaseXL_v21.safetensors", "is_v2": false, "is_v_pred": false, "is_xl": false }, "save": { "dtype": "float16", "save_every": 50, "max_step_saves_to_keep": 2 }, "sample": { "sampler": "ddpm", "sample_every": 20, "width": 512, "height": 512, "prompts": [ "a woman in a coffee shop, black hat, blonde hair, blue jacket --m -5", "a woman in a coffee shop, black hat, blonde hair, blue jacket --m -3", "a woman in a coffee shop, black hat, blonde hair, blue jacket --m 3" ], "neg": "cartoon, fake, drawing, illustration, cgi, animated, anime, monochrome", "seed": 42, "walk_seed": false, "guidance_scale": 7, "sample_steps": 20, "network_multiplier": 1.0 }, "logging": { "log_every": 10, "use_wandb": false, "verbose": false }, "slider": { "resolutions": [ [ 1024, 1024 ] ], "batch_full_slide": true, "targets": [ { "target_class": "", "positive": "high detail, 8k, intricate, detailed, high resolution, high res, high quality", "negative": "blurry, boring, fuzzy, low detail, low resolution, low res, low quality", "weight": 1.0, "shuffle": true } ] } } Building slider targets Built 8 slider targets (with permutations)

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Running job: detail_slider_v1

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Running 1 process Error running job: StableDiffusionPipeline.init() got an unexpected keyword argument 'tokenizer_2'

======================================== Result:

• 0 completed jobs

• 1 failure

  Traceback (most recent call last): File "Z:\SDZ\ai-toolkit\run.py", line 89, in main() File "Z:\SDZ\ai-toolkit\run.py", line 85, in main raise e File "Z:\SDZ\ai-toolkit\run.py", line 77, in main job.run() File "Z:\SDZ\ai-toolkit\jobs\TrainJob.py", line 49, in run process.run() File "Z:\SDZ\ai-toolkit\jobs\process\BaseSDTrainProcess.py", line 1075, in run self.sd.load_model() File "Z:\SDZ\ai-toolkit\toolkit\stable_diffusion_model.py", line 283, in load_model pipe = pipln.from_single_file( File "Z:\SDZ\ai-toolkit\venv\lib\site-packages\huggingface_hub\utils_validators.py", line 118, in _inner_fn return fn(*args, kwargs) File "Z:\SDZ\ai-toolkit\venv\lib\site-packages\diffusers\loaders\single_file.py", line 274, in from_single_file pipe = pipeline_class(init_kwargs) TypeError: StableDiffusionPipeline.init() got an unexpected keyword argument 'tokenizer_2'

[ItsAuver]

At the time of this comment, Triton has not been compiled/ported to Windows to the best of my knowledge. See https://github.com/openai/triton/issues/1640

[DarkAlchy]

It never will be the devs said last year. The best we have is just a wrapper around 500mb for 2.1 cuda.