cjwbw / kandinsky-2-2-controlnet-depth
Kandinsky Image Generation with ControlNet Conditioning
Prediction
cjwbw/kandinsky-2-2-controlnet-depth:98b54ca0b42be225e927f1dae2d9c506e69fe5b3bce301e13718d662a227a12bIDkkznpnbb2uidgrbwevxjjfrttiStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- task
- img2img
- image
- width
- 768
- height
- 768
- prompt
- A robot, 4k photo
- num_outputs
- 1
- negative_prompt
- lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature
- num_inference_steps
- 75
{ "task": "img2img", "image": "https://replicate.delivery/pbxt/JBQjVyAYINXgKMvXGfE2ykyLgNE6E7ytZLC8b26BM2D0IRoG/cat.png", "width": 768, "height": 768, "prompt": "A robot, 4k photo", "num_outputs": 1, "negative_prompt": "lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature", "num_inference_steps": 75 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run cjwbw/kandinsky-2-2-controlnet-depth using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "cjwbw/kandinsky-2-2-controlnet-depth:98b54ca0b42be225e927f1dae2d9c506e69fe5b3bce301e13718d662a227a12b", { input: { task: "img2img", image: "https://replicate.delivery/pbxt/JBQjVyAYINXgKMvXGfE2ykyLgNE6E7ytZLC8b26BM2D0IRoG/cat.png", width: 768, height: 768, prompt: "A robot, 4k photo", num_outputs: 1, negative_prompt: "lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature", num_inference_steps: 75 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun cjwbw/kandinsky-2-2-controlnet-depth using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "cjwbw/kandinsky-2-2-controlnet-depth:98b54ca0b42be225e927f1dae2d9c506e69fe5b3bce301e13718d662a227a12b", input={ "task": "img2img", "image": "https://replicate.delivery/pbxt/JBQjVyAYINXgKMvXGfE2ykyLgNE6E7ytZLC8b26BM2D0IRoG/cat.png", "width": 768, "height": 768, "prompt": "A robot, 4k photo", "num_outputs": 1, "negative_prompt": "lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature", "num_inference_steps": 75 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())To learn more, take a look at the guide on getting started with Python.
Run cjwbw/kandinsky-2-2-controlnet-depth using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "cjwbw/kandinsky-2-2-controlnet-depth:98b54ca0b42be225e927f1dae2d9c506e69fe5b3bce301e13718d662a227a12b", "input": { "task": "img2img", "image": "https://replicate.delivery/pbxt/JBQjVyAYINXgKMvXGfE2ykyLgNE6E7ytZLC8b26BM2D0IRoG/cat.png", "width": 768, "height": 768, "prompt": "A robot, 4k photo", "num_outputs": 1, "negative_prompt": "lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature", "num_inference_steps": 75 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-07-16T15:06:47.566591Z", "created_at": "2023-07-16T15:02:03.189806Z", "data_removed": false, "error": null, "id": "kkznpnbb2uidgrbwevxjjfrtti", "input": { "task": "img2img", "image": "https://replicate.delivery/pbxt/JBQjVyAYINXgKMvXGfE2ykyLgNE6E7ytZLC8b26BM2D0IRoG/cat.png", "width": 768, "height": 768, "prompt": "A robot, 4k photo", "num_outputs": 1, "negative_prompt": "lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature", "num_inference_steps": 75 }, "logs": "Using seed: 49968\n 0%| | 0/21 [00:00<?, ?it/s]\n 19%|█▉ | 4/21 [00:00<00:00, 39.59it/s]\n 43%|████▎ | 9/21 [00:00<00:00, 40.19it/s]\n 67%|██████▋ | 14/21 [00:00<00:00, 40.28it/s]\n 90%|█████████ | 19/21 [00:00<00:00, 40.10it/s]\n100%|██████████| 21/21 [00:00<00:00, 40.17it/s]\nToken indices sequence length is longer than the specified maximum sequence length for this model (112 > 77). Running this sequence through the model will result in indexing errors\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature']\n 0%| | 0/25 [00:00<?, ?it/s]\n 20%|██ | 5/25 [00:00<00:00, 40.73it/s]\n 40%|████ | 10/25 [00:00<00:00, 39.75it/s]\n 60%|██████ | 15/25 [00:00<00:00, 39.91it/s]\n 80%|████████ | 20/25 [00:00<00:00, 39.96it/s]\n 96%|█████████▌| 24/25 [00:00<00:00, 39.72it/s]\n100%|██████████| 25/25 [00:00<00:00, 39.86it/s]\n 0%| | 0/37 [00:00<?, ?it/s]\n 3%|▎ | 1/37 [00:00<00:09, 3.78it/s]\n 8%|▊ | 3/37 [00:00<00:04, 8.39it/s]\n 14%|█▎ | 5/37 [00:00<00:02, 10.77it/s]\n 19%|█▉ | 7/37 [00:00<00:02, 12.40it/s]\n 24%|██▍ | 9/37 [00:00<00:02, 13.46it/s]\n 30%|██▉ | 11/37 [00:00<00:01, 14.10it/s]\n 35%|███▌ | 13/37 [00:01<00:01, 14.55it/s]\n 41%|████ | 15/37 [00:01<00:01, 14.79it/s]\n 46%|████▌ | 17/37 [00:01<00:01, 15.03it/s]\n 51%|█████▏ | 19/37 [00:01<00:01, 15.20it/s]\n 57%|█████▋ | 21/37 [00:01<00:01, 15.28it/s]\n 62%|██████▏ | 23/37 [00:01<00:00, 15.37it/s]\n 68%|██████▊ | 25/37 [00:01<00:00, 15.45it/s]\n 73%|███████▎ | 27/37 [00:01<00:00, 15.53it/s]\n 78%|███████▊ | 29/37 [00:02<00:00, 15.62it/s]\n 84%|████████▍ | 31/37 [00:02<00:00, 15.39it/s]\n 89%|████████▉ | 33/37 [00:02<00:00, 15.50it/s]\n 95%|█████████▍| 35/37 [00:02<00:00, 15.63it/s]\n100%|██████████| 37/37 [00:02<00:00, 15.70it/s]\n100%|██████████| 37/37 [00:02<00:00, 14.28it/s]", "metrics": { "predict_time": 9.333995, "total_time": 284.376785 }, "output": [ "https://replicate.delivery/pbxt/umMfazOmw1yofU5jm3fp84NDhzuz48D1UHRcAQtYdpONM3giA/out-0.png" ], "started_at": "2023-07-16T15:06:38.232596Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/kkznpnbb2uidgrbwevxjjfrtti", "cancel": "https://api.replicate.com/v1/predictions/kkznpnbb2uidgrbwevxjjfrtti/cancel" }, "version": "98b54ca0b42be225e927f1dae2d9c506e69fe5b3bce301e13718d662a227a12b" }Generated inUsing seed: 49968 0%| | 0/21 [00:00<?, ?it/s] 19%|█▉ | 4/21 [00:00<00:00, 39.59it/s] 43%|████▎ | 9/21 [00:00<00:00, 40.19it/s] 67%|██████▋ | 14/21 [00:00<00:00, 40.28it/s] 90%|█████████ | 19/21 [00:00<00:00, 40.10it/s] 100%|██████████| 21/21 [00:00<00:00, 40.17it/s] Token indices sequence length is longer than the specified maximum sequence length for this model (112 > 77). Running this sequence through the model will result in indexing errors The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature'] 0%| | 0/25 [00:00<?, ?it/s] 20%|██ | 5/25 [00:00<00:00, 40.73it/s] 40%|████ | 10/25 [00:00<00:00, 39.75it/s] 60%|██████ | 15/25 [00:00<00:00, 39.91it/s] 80%|████████ | 20/25 [00:00<00:00, 39.96it/s] 96%|█████████▌| 24/25 [00:00<00:00, 39.72it/s] 100%|██████████| 25/25 [00:00<00:00, 39.86it/s] 0%| | 0/37 [00:00<?, ?it/s] 3%|▎ | 1/37 [00:00<00:09, 3.78it/s] 8%|▊ | 3/37 [00:00<00:04, 8.39it/s] 14%|█▎ | 5/37 [00:00<00:02, 10.77it/s] 19%|█▉ | 7/37 [00:00<00:02, 12.40it/s] 24%|██▍ | 9/37 [00:00<00:02, 13.46it/s] 30%|██▉ | 11/37 [00:00<00:01, 14.10it/s] 35%|███▌ | 13/37 [00:01<00:01, 14.55it/s] 41%|████ | 15/37 [00:01<00:01, 14.79it/s] 46%|████▌ | 17/37 [00:01<00:01, 15.03it/s] 51%|█████▏ | 19/37 [00:01<00:01, 15.20it/s] 57%|█████▋ | 21/37 [00:01<00:01, 15.28it/s] 62%|██████▏ | 23/37 [00:01<00:00, 15.37it/s] 68%|██████▊ | 25/37 [00:01<00:00, 15.45it/s] 73%|███████▎ | 27/37 [00:01<00:00, 15.53it/s] 78%|███████▊ | 29/37 [00:02<00:00, 15.62it/s] 84%|████████▍ | 31/37 [00:02<00:00, 15.39it/s] 89%|████████▉ | 33/37 [00:02<00:00, 15.50it/s] 95%|█████████▍| 35/37 [00:02<00:00, 15.63it/s] 100%|██████████| 37/37 [00:02<00:00, 15.70it/s] 100%|██████████| 37/37 [00:02<00:00, 14.28it/s]Prediction
cjwbw/kandinsky-2-2-controlnet-depth:98b54ca0b42be225e927f1dae2d9c506e69fe5b3bce301e13718d662a227a12bIDmqmdl6jb4g26bxji5n3gd4lhbaStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- task
- text2img
- image
- width
- 768
- height
- 768
- prompt
- A robot, 4k photo
- num_outputs
- 1
- negative_prompt
- lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature
- num_inference_steps
- 75
{ "task": "text2img", "image": "https://replicate.delivery/pbxt/JBQq3Yo5olqCMdkBA8YttHUzAzNRmOJfNSR8SyLiBiVWIzQE/cat.png", "width": 768, "height": 768, "prompt": "A robot, 4k photo", "num_outputs": 1, "negative_prompt": "lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature", "num_inference_steps": 75 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run cjwbw/kandinsky-2-2-controlnet-depth using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "cjwbw/kandinsky-2-2-controlnet-depth:98b54ca0b42be225e927f1dae2d9c506e69fe5b3bce301e13718d662a227a12b", { input: { task: "text2img", image: "https://replicate.delivery/pbxt/JBQq3Yo5olqCMdkBA8YttHUzAzNRmOJfNSR8SyLiBiVWIzQE/cat.png", width: 768, height: 768, prompt: "A robot, 4k photo", num_outputs: 1, negative_prompt: "lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature", num_inference_steps: 75 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun cjwbw/kandinsky-2-2-controlnet-depth using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "cjwbw/kandinsky-2-2-controlnet-depth:98b54ca0b42be225e927f1dae2d9c506e69fe5b3bce301e13718d662a227a12b", input={ "task": "text2img", "image": "https://replicate.delivery/pbxt/JBQq3Yo5olqCMdkBA8YttHUzAzNRmOJfNSR8SyLiBiVWIzQE/cat.png", "width": 768, "height": 768, "prompt": "A robot, 4k photo", "num_outputs": 1, "negative_prompt": "lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature", "num_inference_steps": 75 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())To learn more, take a look at the guide on getting started with Python.
Run cjwbw/kandinsky-2-2-controlnet-depth using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "cjwbw/kandinsky-2-2-controlnet-depth:98b54ca0b42be225e927f1dae2d9c506e69fe5b3bce301e13718d662a227a12b", "input": { "task": "text2img", "image": "https://replicate.delivery/pbxt/JBQq3Yo5olqCMdkBA8YttHUzAzNRmOJfNSR8SyLiBiVWIzQE/cat.png", "width": 768, "height": 768, "prompt": "A robot, 4k photo", "num_outputs": 1, "negative_prompt": "lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature", "num_inference_steps": 75 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-07-16T15:09:07.011842Z", "created_at": "2023-07-16T15:08:57.093832Z", "data_removed": false, "error": null, "id": "mqmdl6jb4g26bxji5n3gd4lhba", "input": { "task": "text2img", "image": "https://replicate.delivery/pbxt/JBQq3Yo5olqCMdkBA8YttHUzAzNRmOJfNSR8SyLiBiVWIzQE/cat.png", "width": 768, "height": 768, "prompt": "A robot, 4k photo", "num_outputs": 1, "negative_prompt": "lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature", "num_inference_steps": 75 }, "logs": "Using seed: 58455\nToken indices sequence length is longer than the specified maximum sequence length for this model (112 > 77). Running this sequence through the model will result in indexing errors\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['<|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|>', 'gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature']\n 0%| | 0/25 [00:00<?, ?it/s]\n 16%|█▌ | 4/25 [00:00<00:00, 32.52it/s]\n 32%|███▏ | 8/25 [00:00<00:00, 32.21it/s]\n 48%|████▊ | 12/25 [00:00<00:00, 32.02it/s]\n 64%|██████▍ | 16/25 [00:00<00:00, 29.99it/s]\n 80%|████████ | 20/25 [00:00<00:00, 29.92it/s]\n 96%|█████████▌| 24/25 [00:00<00:00, 31.13it/s]\n100%|██████████| 25/25 [00:00<00:00, 31.23it/s]\n 0%| | 0/75 [00:00<?, ?it/s]\n 3%|▎ | 2/75 [00:00<00:05, 12.58it/s]\n 5%|▌ | 4/75 [00:00<00:05, 12.69it/s]\n 8%|▊ | 6/75 [00:00<00:05, 13.10it/s]\n 11%|█ | 8/75 [00:00<00:05, 13.30it/s]\n 13%|█▎ | 10/75 [00:00<00:04, 13.62it/s]\n 16%|█▌ | 12/75 [00:00<00:04, 13.41it/s]\n 19%|█▊ | 14/75 [00:01<00:04, 13.07it/s]\n 21%|██▏ | 16/75 [00:01<00:04, 13.72it/s]\n 24%|██▍ | 18/75 [00:01<00:04, 14.10it/s]\n 27%|██▋ | 20/75 [00:01<00:03, 14.55it/s]\n 29%|██▉ | 22/75 [00:01<00:03, 14.82it/s]\n 32%|███▏ | 24/75 [00:01<00:03, 14.39it/s]\n 35%|███▍ | 26/75 [00:01<00:03, 14.08it/s]\n 37%|███▋ | 28/75 [00:02<00:03, 13.95it/s]\n 40%|████ | 30/75 [00:02<00:03, 13.83it/s]\n 43%|████▎ | 32/75 [00:02<00:03, 13.82it/s]\n 45%|████▌ | 34/75 [00:02<00:02, 13.85it/s]\n 48%|████▊ | 36/75 [00:02<00:02, 13.61it/s]\n 51%|█████ | 38/75 [00:02<00:02, 13.47it/s]\n 53%|█████▎ | 40/75 [00:02<00:02, 13.35it/s]\n 56%|█████▌ | 42/75 [00:03<00:02, 13.19it/s]\n 59%|█████▊ | 44/75 [00:03<00:02, 13.35it/s]\n 61%|██████▏ | 46/75 [00:03<00:02, 13.30it/s]\n 64%|██████▍ | 48/75 [00:03<00:02, 13.21it/s]\n 67%|██████▋ | 50/75 [00:03<00:01, 13.00it/s]\n 69%|██████▉ | 52/75 [00:03<00:01, 12.96it/s]\n 72%|███████▏ | 54/75 [00:03<00:01, 12.97it/s]\n 75%|███████▍ | 56/75 [00:04<00:01, 13.29it/s]\n 77%|███████▋ | 58/75 [00:04<00:01, 13.11it/s]\n 80%|████████ | 60/75 [00:04<00:01, 12.91it/s]\n 83%|████████▎ | 62/75 [00:04<00:00, 13.08it/s]\n 85%|████████▌ | 64/75 [00:04<00:00, 13.05it/s]\n 88%|████████▊ | 66/75 [00:04<00:00, 13.20it/s]\n 91%|█████████ | 68/75 [00:05<00:00, 13.60it/s]\n 93%|█████████▎| 70/75 [00:05<00:00, 13.51it/s]\n 96%|█████████▌| 72/75 [00:05<00:00, 13.61it/s]\n 99%|█████████▊| 74/75 [00:05<00:00, 13.66it/s]\n100%|██████████| 75/75 [00:05<00:00, 13.51it/s]", "metrics": { "predict_time": 10.026436, "total_time": 9.91801 }, "output": [ "https://replicate.delivery/pbxt/LuGtTqqvnyZIKh2bbvYeXqemoxyOr0lOSuKfbZEaOEvlQ3giA/out-0.png" ], "started_at": "2023-07-16T15:08:56.985406Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/mqmdl6jb4g26bxji5n3gd4lhba", "cancel": "https://api.replicate.com/v1/predictions/mqmdl6jb4g26bxji5n3gd4lhba/cancel" }, "version": "98b54ca0b42be225e927f1dae2d9c506e69fe5b3bce301e13718d662a227a12b" }Generated inUsing seed: 58455 Token indices sequence length is longer than the specified maximum sequence length for this model (112 > 77). Running this sequence through the model will result in indexing errors The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['<|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|>', 'gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature'] 0%| | 0/25 [00:00<?, ?it/s] 16%|█▌ | 4/25 [00:00<00:00, 32.52it/s] 32%|███▏ | 8/25 [00:00<00:00, 32.21it/s] 48%|████▊ | 12/25 [00:00<00:00, 32.02it/s] 64%|██████▍ | 16/25 [00:00<00:00, 29.99it/s] 80%|████████ | 20/25 [00:00<00:00, 29.92it/s] 96%|█████████▌| 24/25 [00:00<00:00, 31.13it/s] 100%|██████████| 25/25 [00:00<00:00, 31.23it/s] 0%| | 0/75 [00:00<?, ?it/s] 3%|▎ | 2/75 [00:00<00:05, 12.58it/s] 5%|▌ | 4/75 [00:00<00:05, 12.69it/s] 8%|▊ | 6/75 [00:00<00:05, 13.10it/s] 11%|█ | 8/75 [00:00<00:05, 13.30it/s] 13%|█▎ | 10/75 [00:00<00:04, 13.62it/s] 16%|█▌ | 12/75 [00:00<00:04, 13.41it/s] 19%|█▊ | 14/75 [00:01<00:04, 13.07it/s] 21%|██▏ | 16/75 [00:01<00:04, 13.72it/s] 24%|██▍ | 18/75 [00:01<00:04, 14.10it/s] 27%|██▋ | 20/75 [00:01<00:03, 14.55it/s] 29%|██▉ | 22/75 [00:01<00:03, 14.82it/s] 32%|███▏ | 24/75 [00:01<00:03, 14.39it/s] 35%|███▍ | 26/75 [00:01<00:03, 14.08it/s] 37%|███▋ | 28/75 [00:02<00:03, 13.95it/s] 40%|████ | 30/75 [00:02<00:03, 13.83it/s] 43%|████▎ | 32/75 [00:02<00:03, 13.82it/s] 45%|████▌ | 34/75 [00:02<00:02, 13.85it/s] 48%|████▊ | 36/75 [00:02<00:02, 13.61it/s] 51%|█████ | 38/75 [00:02<00:02, 13.47it/s] 53%|█████▎ | 40/75 [00:02<00:02, 13.35it/s] 56%|█████▌ | 42/75 [00:03<00:02, 13.19it/s] 59%|█████▊ | 44/75 [00:03<00:02, 13.35it/s] 61%|██████▏ | 46/75 [00:03<00:02, 13.30it/s] 64%|██████▍ | 48/75 [00:03<00:02, 13.21it/s] 67%|██████▋ | 50/75 [00:03<00:01, 13.00it/s] 69%|██████▉ | 52/75 [00:03<00:01, 12.96it/s] 72%|███████▏ | 54/75 [00:03<00:01, 12.97it/s] 75%|███████▍ | 56/75 [00:04<00:01, 13.29it/s] 77%|███████▋ | 58/75 [00:04<00:01, 13.11it/s] 80%|████████ | 60/75 [00:04<00:01, 12.91it/s] 83%|████████▎ | 62/75 [00:04<00:00, 13.08it/s] 85%|████████▌ | 64/75 [00:04<00:00, 13.05it/s] 88%|████████▊ | 66/75 [00:04<00:00, 13.20it/s] 91%|█████████ | 68/75 [00:05<00:00, 13.60it/s] 93%|█████████▎| 70/75 [00:05<00:00, 13.51it/s] 96%|█████████▌| 72/75 [00:05<00:00, 13.61it/s] 99%|█████████▊| 74/75 [00:05<00:00, 13.66it/s] 100%|██████████| 75/75 [00:05<00:00, 13.51it/s]
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