A Configuration Issue with Stable Diffusion in Dify

[p0werdown]

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Hi.

I try to use Stabe Diffusion model in dify.

I installed the Dify in Docker, followed this instruction, however, it seems like Dify cannot Connect with my Stable Diffusion.

• Computer and System: M2 Mac mini, 24GB Memory, macOS 13.5
• Stable Diffusion Base URL: http://0.0.0.0:7860
• Model name: v1-5-pruned-emaonly
• Error Message: Failed to get models, [Errno 111] Connection refused

Best regards.

[dosubot]

Hey @p0werdown, great to see you back! Running into a bit of a hiccup with Dify and Stable Diffusion, huh? Let's see what we can do about that.

The error message you're encountering suggests a network connection issue between Dify and your Stable Diffusion model. Here are steps to troubleshoot and potentially resolve the issue:

1. Verify the Base URL: Ensure the base_url in the credentials_for_provider section correctly points to where your Stable Diffusion model is hosted. It must be accessible from the network where Dify is running.

2. Check Stable Diffusion Server Status: Confirm that the server hosting the Stable Diffusion model is operational. If it's not running, Dify won't be able to connect.

3. Review Firewall/Network Configuration: If there's a firewall or specific network settings blocking connections on the port your Stable Diffusion model server uses, this could be the cause. Ensure that incoming connections on this port are allowed.

4. Localhost Connection: If Dify and Stable Diffusion are on the same machine and you're using localhost or 127.0.0.1 as the base URL, make sure Dify is configured to connect to localhost. Alternatively, try using the local network IP address of your machine.

For more detailed configuration, refer to the stablediffusion.yaml and stable_diffusion.py files in the Dify repository. These files provide insights into the network requirements, such as allowing HTTP/HTTPS traffic, supporting JSON and binary data transmission, and ensuring secure transmission protocols.

If these steps don't resolve the issue, please share more details about your setup for further assistance.

Sources

• api/core/tools/provider/builtin/stablediffusion/stablediffusion.yaml
• api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.py
• docker/docker-compose.yaml

About Dosu

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

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[p0werdown]

@dosu-bot Sorry, It still cannot work

[dosubot]

It looks like the connection issue between Dify and your Stable Diffusion model persists despite previous troubleshooting steps. Let's focus on a more targeted approach to resolve this:

1. Ensure Stable Diffusion Server is Running: Access the server's base URL from a browser or use curl in your terminal to verify it's operational. If it's not running, you'll need to start it as per the documentation.

2. Adjust Network and Firewall Settings: On your M2 Mac mini, check your firewall and network settings to allow connections on the port used by the Stable Diffusion server. This might involve modifying firewall rules to permit inbound and outbound connections on that specific port.

3. Update Dify Configuration: In the stablediffusion.yaml file, ensure the base_url is correctly set to where your Stable Diffusion server is accessible. This includes the protocol (http:// or https://), the server's IP address or hostname, and the port if not default.

4. Address Localhost Connection Issues: If both Dify and Stable Diffusion are on the same machine and you're using localhost or 127.0.0.1, ensure there's no network isolation by Docker or virtualization software. Using the host machine's local network IP address instead of localhost might help.

5. Review Server Logs: Check your Stable Diffusion server logs for any errors or warnings that could indicate why connections are refused. This can offer insights into potential server setup or network configuration issues.

If these steps don't resolve the issue, consulting the documentation or support forums for Dify and Stable Diffusion might uncover known issues or additional troubleshooting steps specific to your setup.

Sources

• Cannot connect to xinference
• Cannot Add openai-api-compatible model
• 使用xinference接入模型时报错
• api/core/tools/provider/builtin/stablediffusion/stablediffusion.yaml
• api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.py
• api/core/model_runtime/model_providers/openai_api_compatible/_common.py

About Dosu

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

[crazywoola]

You can use your local network ip address instead of 0.0.0.0 or 127.0.0.1. The. container will look up this 0.0.0.0 host itself.