-
Notifications
You must be signed in to change notification settings - Fork 2.7k
Description
Is there an existing issue for this problem?
- I have searched the existing issues
Operating system
Windows
GPU vendor
Nvidia (CUDA)
GPU model
RTX 5070 Ti
GPU VRAM
16GB
Version number
5.10.1
Browser
Pinokio 3.7
Python dependencies
{
"version": "5.10.1",
"dependencies": {
"accelerate" : "1.6.0" ,
"compel" : "2.0.2" ,
"cuda" : "12.4" ,
"diffusers" : "0.33.0" ,
"numpy" : "1.26.4" ,
"opencv" : "4.9.0.80" ,
"onnx" : "1.16.1" ,
"pillow" : "11.2.1" ,
"python" : "3.10.16" ,
"torch" : "2.6.0+cu124" ,
"torchvision" : "0.21.0+cu124",
"transformers": "4.51.3" ,
"xformers" : "0.0.29.post3"
},
"config": {
"schema_version": "4.0.2",
"legacy_models_yaml_path": null,
"host": "127.0.0.1",
"port": 9090,
"allow_origins": [],
"allow_credentials": true,
"allow_methods": [""],
"allow_headers": [""],
"ssl_certfile": null,
"ssl_keyfile": null,
"log_tokenization": false,
"patchmatch": true,
"models_dir": "models",
"convert_cache_dir": "models\.convert_cache",
"download_cache_dir": "models\.download_cache",
"legacy_conf_dir": "configs",
"db_dir": "databases",
"outputs_dir": "outputs",
"custom_nodes_dir": "nodes",
"style_presets_dir": "style_presets",
"workflow_thumbnails_dir": "workflow_thumbnails",
"log_handlers": ["console"],
"log_format": "color",
"log_level": "info",
"log_sql": false,
"log_level_network": "warning",
"use_memory_db": false,
"dev_reload": false,
"profile_graphs": false,
"profile_prefix": null,
"profiles_dir": "profiles",
"max_cache_ram_gb": null,
"max_cache_vram_gb": null,
"log_memory_usage": false,
"device_working_mem_gb": 3,
"enable_partial_loading": false,
"keep_ram_copy_of_weights": true,
"ram": null,
"vram": null,
"lazy_offload": true,
"pytorch_cuda_alloc_conf": null,
"device": "auto",
"precision": "auto",
"sequential_guidance": false,
"attention_type": "auto",
"attention_slice_size": "auto",
"force_tiled_decode": false,
"pil_compress_level": 1,
"max_queue_size": 10000,
"clear_queue_on_startup": false,
"allow_nodes": null,
"deny_nodes": null,
"node_cache_size": 512,
"hashing_algorithm": "blake3_single",
"remote_api_tokens": null,
"scan_models_on_startup": false
},
"set_config_fields": ["legacy_models_yaml_path"]
}
What happened
I can not generate an image. I get the following error message:
RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1 Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
What you expected to happen
I had PyTorch 2.7 with Cuda 12.8 installed previously, and removed them in case that was the problem and installed an older version using Anaconda; but the problem persist. I also installed the xformers, but an image will not generate. I've used different models with the same result.
How to reproduce the problem
No response
Additional context
No response
Discord username
Xzendor7