# No custom pipeline found at /repository/handler.py
**URL:**
**Author:**  [@BrianPistar](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FBrianPistar)%5C
**Post date:** [March 31, 2023, 10:42pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fno-custom-pipeline-found-at-repository-handler-py%2F35230%2F1 "2023-03-31T22:42:19Z")
I have a stable diffusion 1.5 model hosted on huggingFace. I am trying to spin up an interface endpoint for it, to provide my community with faster response times and better uptime.
But I keep running into the following error:
Initializing model from directory:/repository
b997n 2023-03-31T22:35:49.795Z 2023-03-31 22:35:49,795 | INFO | No custom pipeline found at /repository/handler.py
I tried running the CPU endpoint Small and Medium.
Honestly paying more than 80 dollars a month for my use as I am still learning is too much.
How can I fix this issue?
Are there better services than interface endpoints for my goal?
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**Author:**  [@philschmid](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fphilschmid)%5C
**Post date:** [April 3, 2023, 7:36am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fno-custom-pipeline-found-at-repository-handler-py%2F35230%2F2 "2023-04-03T07:36:40Z")
Could you please share you repository? Are you trying to customize inference. through a `handler.py`?
Also CPUs are not a good for Stable diffusion models neither in size nor performance.
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**Author:**  [@BrianPistar](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FBrianPistar)%5C
**Post date:** [April 3, 2023, 2:36pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fno-custom-pipeline-found-at-repository-handler-py%2F35230%2F3 "2023-04-03T14:36:18Z")
I have found a solution in the huggingFace docs, found a custom handler.py for stable diffusion models, but when I tried running it, the build has always failed.
Is it possible the small and medium CPUs aren’t enough?
Paying 400 dollars a month just to test out an interface endpoint seems like too much to me, combined with the fact I pay per hour, not per compute.
> **[BrianPistar/sd-1-5-focplanet at main](https://huggingface.co/BrianPistar/sd-1-5-focplanet/tree/main)**
>
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**Author:**  [@philschmid](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fphilschmid)%5C
**Post date:** [April 3, 2023, 2:47pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fno-custom-pipeline-found-at-repository-handler-py%2F35230%2F4 "2023-04-03T14:47:46Z")
Yes, the pipeline overall is \> 7-8GB and even if you manage to run on CPU the generation will take minutes.
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**Author:**  [@philschmid](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fphilschmid)%5C
**Post date:** [April 3, 2023, 2:48pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fno-custom-pipeline-found-at-repository-handler-py%2F35230%2F5 "2023-04-03T14:48:09Z")
For testing you can use the inference-api which is free through the inference widgets or programmatically.
