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)

#############################################

Running job: detail_slider_v1

#############################################

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 triton-lang/triton#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.