Comments (6)
Hello, if you provide me with more information, I could help you. If you could provide a screenshot of the error, it would be even better, especially if it's a copy of the CLI output to identify the type of error. If it generates an image but it's not the one you expected, please attach both the result and the expected image.
from stable-diffusion.cpp.
Hello, if you provide me with more information, I could help you. If you could provide a screenshot of the error, it would be even better, especially if it's a copy of the CLI output to identify the type of error. If it generates an image but it's not the one you expected, please attach both the result and the expected image.
thanks for you quickly and warmly comment.
the issue is SD process crashes on Xiaomi 14:https://github.com/zhouwg/kantv/blob/master/core/ggml/jni/ggml-jni-impl.cpp#L905
this personal AI study project is an Android turn-key project, you can reproduce this issue very easily on Xiaomi 14 or any other mainstream Android phone(modify this line accordingly:https://github.com/zhouwg/kantv/blob/master/core/ggml/CMakeLists.txt#L16).
from stable-diffusion.cpp.
Reviewing your comment again, I suggest you do not use the latest version of ggml (Anyway, there is no significant improvement in any aspect) as it introduces many changes that may end up breaking some of the code in sd.cpp. Use the one that is default in the master branch instead.
from stable-diffusion.cpp.
this personal AI study project is an Android turn-key project, you can reproduce this issue very easily on Xiaomi 14 or any other mainstream Android phone.
I will try to test it, I hope it compiles on the first try since my time is very limited. I think it could also be because the model is very heavy, and Android struggles with handling large data sizes. I suggest you try using q4_0 quantization.
from stable-diffusion.cpp.
Reviewing your comment again, I suggest you do not use the latest version of ggml (Anyway, there is no significant improvement in any aspect) as it introduces many changes that may end up breaking some of the code in sd.cpp. Use the one that is default in the master branch instead.
thanks
from stable-diffusion.cpp.
this personal AI study project is an Android turn-key project, you can reproduce this issue very easily on Xiaomi 14 or any other mainstream Android phone.
I will try to test it, I hope it compiles on the first try since my time is very limited. I think it could also be because the model is very heavy, and Android struggles with handling large data sizes. I suggest you try using q4_0 quantization.
Google's gemma model can run well on Xiaomi 14 using llama.cpp.
I'll try q4_0 quantization later. thanks so much.
from stable-diffusion.cpp.
Related Issues (20)
- GGML_ASSERT error on ROCm RX 6800 HOT 8
- ggml-metal.m - GGML_ASSERT: ne00 % 4 == 0 when generating images of dimensions 640x640 HOT 3
- Will img2img support controlnet? HOT 2
- CPU only? HOT 6
- Could you add DirectML version of S-D.cpp, please? HOT 1
- SDXL-Lightning support HOT 12
- [Question] Can I convert a sd model with lora converting and merging into it?
- StableDiffusionGGML buffer problem : call txt2img twice HOT 2
- SDXL : LoRa problem HOT 17
- App crashes silently since the last update when loading a new model. HOT 2
- photoMaker issue with two or more generated images / SDXL sample steps HOT 12
- Errors during variational encoder step
- Are lora's for SDXL text encoder supported? HOT 7
- api not match with ggml updated version HOT 1
- Stable-diffusion on macOS M1 - GPU HOT 1
- Image generation error on M1 and low image quanlity HOT 2
- taesd model does not work after reloading the sd_ctx HOT 2
- ggml_metal_graph_compute_block_invoke: error: unsupported op 'MUL_MAT' (macos intel/amd gpu) HOT 1
- any plan to merge upstream libggml? HOT 2
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from stable-diffusion.cpp.