how to fix this error
CHETHAN562 opened this issue · 4 comments
Host started...
RTL be like: 22621.10.0
Name - NVIDIA GeForce GTX 1650
DeviceID - VideoController1
AdapterRAM - 4293918720
AdapterDACType - Integrated RAMDAC
Monochrome - False
DriverVersion - 31.0.15.3179
VideoProcessor - NVIDIA GeForce GTX 1650
VideoArchitecture - 5
VideoMemoryType - 2
${Workspace}\repo\cuda.venv\lib\site-packages\transformers\models\clip\feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.
You have passed a non-standard module StableDiffusionSafetyChecker(
(vision_model): CLIPVisionModel(
(vision_model): CLIPVisionTransformer(
(embeddings): CLIPVisionEmbeddings(
(patch_embedding): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14), bias=False)
(position_embedding): Embedding(257, 1024)
)
(pre_layrnorm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
(encoder): CLIPEncoder(
(layers): ModuleList(
(0-23): 24 x CLIPEncoderLayer(
(self_attn): CLIPAttention(
(k_proj): Linear(in_features=1024, out_features=1024, bias=True)
(v_proj): Linear(in_features=1024, out_features=1024, bias=True)
(q_proj): Linear(in_features=1024, out_features=1024, bias=True)
(out_proj): Linear(in_features=1024, out_features=1024, bias=True)
)
(layer_norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
(mlp): CLIPMLP(
(activation_fn): QuickGELUActivation()
(fc1): Linear(in_features=1024, out_features=4096, bias=True)
(fc2): Linear(in_features=4096, out_features=1024, bias=True)
)
(layer_norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
)
)
)
(post_layernorm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
)
)
(visual_projection): Linear(in_features=1024, out_features=768, bias=False)
). We cannot verify whether it has the correct type
Current device: cuda
txt2img
Traceback (most recent call last):
File "${Workspace}\repo\diffusion_scripts\sd_cuda_safe.py", line 24, in
pipe.to(PipeDevice.device, fptype)
File "${Workspace}\repo\cuda.venv\lib\site-packages\diffusers\pipelines\pipeline_utils.py", line 670, in to
module.to(torch_device, torch_dtype)
File "${Workspace}\repo\cuda.venv\lib\site-packages\torch\nn\modules\module.py", line 1145, in to
return self._apply(convert)
File "${Workspace}\repo\cuda.venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
module._apply(fn)
File "${Workspace}\repo\cuda.venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
module._apply(fn)
File "${Workspace}\repo\cuda.venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
module._apply(fn)
[Previous line repeated 3 more times]
File "${Workspace}\repo\cuda.venv\lib\site-packages\torch\nn\modules\module.py", line 820, in _apply
param_applied = fn(param)
File "${Workspace}\repo\cuda.venv\lib\site-packages\torch\nn\modules\module.py", line 1143, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
You have passed a non-standard module StableDiffusionSafetyChecker(
(vision_model): CLIPVisionModel(
(vision_model): CLIPVisionTransformer(
(embeddings): CLIPVisionEmbeddings(
(patch_embedding): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14), bias=False)
(position_embedding): Embedding(257, 1024)
)
(pre_layrnorm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
(encoder): CLIPEncoder(
(layers): ModuleList(
(0-23): 24 x CLIPEncoderLayer(
(self_attn): CLIPAttention(
(k_proj): Linear(in_features=1024, out_features=1024, bias=True)
(v_proj): Linear(in_features=1024, out_features=1024, bias=True)
(q_proj): Linear(in_features=1024, out_features=1024, bias=True)
(out_proj): Linear(in_features=1024, out_features=1024, bias=True)
)
(layer_norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
(mlp): CLIPMLP(
(activation_fn): QuickGELUActivation()
(fc1): Linear(in_features=1024, out_features=4096, bias=True)
(fc2): Linear(in_features=4096, out_features=1024, bias=True)
)
(layer_norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
)
)
)
(post_layernorm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
)
)
(visual_projection): Linear(in_features=1024, out_features=768, bias=False)
). We cannot verify whether it has the correct type
${Workspace}\repo\cuda.venv\lib\site-packages\transformers\models\clip\feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.
Current device: cuda
txt2img
Traceback (most recent call last):
File "${Workspace}\repo\diffusion_scripts\sd_cuda_safe.py", line 24, in
pipe.to(PipeDevice.device, fptype)
File "${Workspace}\repo\cuda.venv\lib\site-packages\diffusers\pipelines\pipeline_utils.py", line 670, in to
module.to(torch_device, torch_dtype)
File "${Workspace}\repo\cuda.venv\lib\site-packages\torch\nn\modules\module.py", line 1145, in to
return self._apply(convert)
File "${Workspace}\repo\cuda.venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
module._apply(fn)
File "${Workspace}\repo\cuda.venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
module._apply(fn)
File "${Workspace}\repo\cuda.venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
module._apply(fn)
[Previous line repeated 2 more times]
File "${Workspace}\repo\cuda.venv\lib\site-packages\torch\nn\modules\module.py", line 820, in _apply
param_applied = fn(param)
File "${Workspace}\repo\cuda.venv\lib\site-packages\torch\nn\modules\module.py", line 1143, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
You use Fp16 or Fp32?
Can you describe situation. What did you do?
I think I used Fp16 sampler realisticvision 1.3 model
While converting to onnx it key infrancing missing from model I used python 3.10.9 and Cuda 12