Node example -> Class CoreMLExecution is implemented in both #10

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1. zaqqaz commented on Dec 5, 2023

   

   zaqqaz

   on Dec 5, 2023

   Last edited by zaqqaz

   Author

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   Building for source and using examples seem to be working fine, so likely an issue with dependencies in published version, haven't investigated it further yet.
2. rbourgeat commented on Feb 22, 2024

   

   rbourgeat

   on Feb 22, 2024

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   objc[63467]: Class CoreMLExecution is implemented in both  node_modules/@aislamov/diffusers.js/node_modules/onnxruntime-node/bin/napi-v3/darwin/arm64/libonnxruntime.1.16.1.dylib (0x118318cb8) and node_modules/onnxruntime-node/bin/napi-v3/darwin/arm64/libonnxruntime.1.14.0.dylib (0x11abbceb0). One of the two will be used. Which one is undefined.
   
   file:///***/test.mjs:5
   const images = pipe.run({
                       ^
   
   TypeError: pipe.run is not a function
       at file:///***/test.mjs:5:21
   

   Same error:

   Tab1.tsx:14 Uncaught (in promise) TypeError: pipe.run is not a function
       at generateImage (Tab1.tsx:14:25)
       at Tab1.tsx:32:5
   

   My code:

     const generateImage = async () => {
       const pipe = DiffusionPipeline.fromPretrained('aislamov/stable-diffusion-2-1-base-onnx', { revision: 'cpu' })
       const images = pipe.run({
         prompt: "an astronaut running a horse",
         numInferenceSteps: 30,
       });
   
       const data = await images[0].mul(255).round().clipByValue(0, 255).transpose(0, 2, 3, 1);
   
       const p = new PNG({ width: 512, height: 512, inputColorType: 2 });
       p.data = Buffer.from(data.data);
       p.pack().pipe(fs.createWriteStream('output.png')).on('finish', () => {
         console.log('Image saved as output.png');
       });
   
       setImageData(p.data);
     };
3. yousef-muc commented on Apr 22, 2024

   

   yousef-muc

   on Apr 22, 2024

   Last edited by yousef-muc

   More actions

   objc[63467]: Class CoreMLExecution is implemented in both  node_modules/@aislamov/diffusers.js/node_modules/onnxruntime-node/bin/napi-v3/darwin/arm64/libonnxruntime.1.16.1.dylib (0x118318cb8) and node_modules/onnxruntime-node/bin/napi-v3/darwin/arm64/libonnxruntime.1.14.0.dylib (0x11abbceb0). One of the two will be used. Which one is undefined.
   
   file:///***/test.mjs:5
   const images = pipe.run({
                       ^
   
   TypeError: pipe.run is not a function
       at file:///***/test.mjs:5:21
   

   Same error:

   Tab1.tsx:14 Uncaught (in promise) TypeError: pipe.run is not a function
       at generateImage (Tab1.tsx:14:25)
       at Tab1.tsx:32:5
   

   My code:

     const generateImage = async () => {
       const pipe = DiffusionPipeline.fromPretrained('aislamov/stable-diffusion-2-1-base-onnx', { revision: 'cpu' })
       const images = pipe.run({
         prompt: "an astronaut running a horse",
         numInferenceSteps: 30,
       });
   
       const data = await images[0].mul(255).round().clipByValue(0, 255).transpose(0, 2, 3, 1);
   
       const p = new PNG({ width: 512, height: 512, inputColorType: 2 });
       p.data = Buffer.from(data.data);
       p.pack().pipe(fs.createWriteStream('output.png')).on('finish', () => {
         console.log('Image saved as output.png');
       });
   
       setImageData(p.data);
     };

   Hey,

   its a promise, u have to call "await":

   const pipe = await DiffusionPipeline.fromPretrained('aislamov/stable-diffusion-2-1-base-onnx', { revision: 'cpu' })

   👍React with 👍1Reacted by Raphaël Bourgeat