Comments (1)
I think I found the issue, a subclass of nn.module requires implementation of forward
in order for onediff to compile
from onediff.
Related Issues (20)
- Bad quality
- StableVideoDiffusionPipeline 加速 V100 能执行成功,A30 执行报错 HOT 14
- 开启onediff优化后,A100上unet执行结果为nan,但是V100上unet计算结果正常 HOT 5
- Almost no speed up on L4 HOT 3
- how to use bf16 for onediff HOT 2
- > 复现步骤: 1.首次工作流中使用OneDiffCheckpointLoaderSimple加载ckpt,且不加载任何Lora 2.修改工作流,增加LoRALoader节点,加载任一Lora 3.LoRA未生效 HOT 4
- Enterprise quant has problem
- It's weird if both instant_id and ip_adapter are enabled in comfyui
- Compiled VAE encoder returns NaN
- OP Kernel Not Found Error HOT 1
- Cannot run sdxl sample code with deepcache, PyTorch should be >= 1.12 HOT 3
- no upcast_vae() for SVD pipe HOT 1
- How to use int8 for onediff Controlnet HOT 5
- 加载lora->出图->卸载lora 重复多次后,质量降低 HOT 7
- How to TRAIN the int8 quant model? HOT 5
- Issue with using oneflow as well as with nexfort HOT 1
- onediff通过劫持torch导致的额外编译时间 HOT 1
- 订阅企业版后是否会提供源码? HOT 1
- Kaggle Notebook installation HOT 10
- when using load_pipe(pipe, dir="cached_pipe"), if the image size does not match the cached image size, an error occurs. Reshape infered output element count is different with input in op_name: model.mid_block.attentions.0-reshape-9 input shape is : (1,512,80,80) , output shape is : (1,512,5120) , output logical shape is (1,512,5120) , and reshape shape conf is : (1,512,5120). HOT 3
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from onediff.