fofr / flux-tesla-robovan
Flux lora, use "ROBOVAN" to trigger generation
- Public
- 168 runs
-
H100
- Weights
Prediction
fofr/flux-tesla-robovan:75f4226a56e37b3d81a257ee2f9c18166b146e9d0018babd4f0a10b1e6e89be8IDbjgpg93a89rm20cjfc6th8gbkmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, cream and navy blue color scheme with horizontal stripes. Urban background with brick buildings, flower shop storefront, blurred pedestrian, retro-futuristic aesthetic, photorealistic rendering.
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 3:2
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
- disable_safety_checker
{ "model": "dev", "prompt": "A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, cream and navy blue color scheme with horizontal stripes. Urban background with brick buildings, flower shop storefront, blurred pedestrian, retro-futuristic aesthetic, photorealistic rendering.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28, "disable_safety_checker": false }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 fofr/flux-tesla-robovan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/flux-tesla-robovan:75f4226a56e37b3d81a257ee2f9c18166b146e9d0018babd4f0a10b1e6e89be8", { input: { model: "dev", prompt: "A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, cream and navy blue color scheme with horizontal stripes. Urban background with brick buildings, flower shop storefront, blurred pedestrian, retro-futuristic aesthetic, photorealistic rendering.", lora_scale: 1, num_outputs: 1, aspect_ratio: "3:2", output_format: "webp", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 fofr/flux-tesla-robovan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/flux-tesla-robovan:75f4226a56e37b3d81a257ee2f9c18166b146e9d0018babd4f0a10b1e6e89be8", input={ "model": "dev", "prompt": "A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, cream and navy blue color scheme with horizontal stripes. Urban background with brick buildings, flower shop storefront, blurred pedestrian, retro-futuristic aesthetic, photorealistic rendering.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 fofr/flux-tesla-robovan 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": "fofr/flux-tesla-robovan:75f4226a56e37b3d81a257ee2f9c18166b146e9d0018babd4f0a10b1e6e89be8", "input": { "model": "dev", "prompt": "A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, cream and navy blue color scheme with horizontal stripes. Urban background with brick buildings, flower shop storefront, blurred pedestrian, retro-futuristic aesthetic, photorealistic rendering.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-10-11T10:09:01.282968Z", "created_at": "2024-10-11T10:08:49.730000Z", "data_removed": false, "error": null, "id": "bjgpg93a89rm20cjfc6th8gbkm", "input": { "model": "dev", "prompt": "A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, cream and navy blue color scheme with horizontal stripes. Urban background with brick buildings, flower shop storefront, blurred pedestrian, retro-futuristic aesthetic, photorealistic rendering.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28, "disable_safety_checker": false }, "logs": "Using seed: 21185\nPrompt: A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, cream and navy blue color scheme with horizontal stripes. Urban background with brick buildings, flower shop storefront, blurred pedestrian, retro-futuristic aesthetic, photorealistic rendering.\n[!] txt2img mode\nUsing dev model\nfree=8681709993984\nDownloading weights\n2024-10-11T10:08:49Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp4yg39hmt/weights url=https://replicate.delivery/yhqm/LD5bmH27bMYONN2HFrJI32yOrFZBk765aKRTkNK9ee5pmqlTA/trained_model.tar\n2024-10-11T10:08:50Z | INFO | [ Complete ] dest=/tmp/tmp4yg39hmt/weights size=\"172 MB\" total_elapsed=1.048s url=https://replicate.delivery/yhqm/LD5bmH27bMYONN2HFrJI32yOrFZBk765aKRTkNK9ee5pmqlTA/trained_model.tar\nDownloaded weights in 1.08s\nLoaded LoRAs in 1.80s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:09, 2.96it/s]\n 7%|▋ | 2/28 [00:00<00:07, 3.30it/s]\n 11%|█ | 3/28 [00:00<00:07, 3.14it/s]\n 14%|█▍ | 4/28 [00:01<00:07, 3.06it/s]\n 18%|█▊ | 5/28 [00:01<00:07, 3.02it/s]\n 21%|██▏ | 6/28 [00:01<00:07, 3.00it/s]\n 25%|██▌ | 7/28 [00:02<00:07, 2.99it/s]\n 29%|██▊ | 8/28 [00:02<00:06, 2.98it/s]\n 32%|███▏ | 9/28 [00:02<00:06, 2.97it/s]\n 36%|███▌ | 10/28 [00:03<00:06, 2.97it/s]\n 39%|███▉ | 11/28 [00:03<00:05, 2.97it/s]\n 43%|████▎ | 12/28 [00:03<00:05, 2.96it/s]\n 46%|████▋ | 13/28 [00:04<00:05, 2.96it/s]\n 50%|█████ | 14/28 [00:04<00:04, 2.96it/s]\n 54%|█████▎ | 15/28 [00:05<00:04, 2.96it/s]\n 57%|█████▋ | 16/28 [00:05<00:04, 2.96it/s]\n 61%|██████ | 17/28 [00:05<00:03, 2.96it/s]\n 64%|██████▍ | 18/28 [00:06<00:03, 2.96it/s]\n 68%|██████▊ | 19/28 [00:06<00:03, 2.96it/s]\n 71%|███████▏ | 20/28 [00:06<00:02, 2.96it/s]\n 75%|███████▌ | 21/28 [00:07<00:02, 2.96it/s]\n 79%|███████▊ | 22/28 [00:07<00:02, 2.96it/s]\n 82%|████████▏ | 23/28 [00:07<00:01, 2.96it/s]\n 86%|████████▌ | 24/28 [00:08<00:01, 2.96it/s]\n 89%|████████▉ | 25/28 [00:08<00:01, 2.96it/s]\n 93%|█████████▎| 26/28 [00:08<00:00, 2.96it/s]\n 96%|█████████▋| 27/28 [00:09<00:00, 2.96it/s]\n100%|██████████| 28/28 [00:09<00:00, 2.96it/s]\n100%|██████████| 28/28 [00:09<00:00, 2.98it/s]", "metrics": { "predict_time": 11.542267983, "total_time": 11.552968 }, "output": [ "https://replicate.delivery/yhqm/WSE0ZvAsWYrxHZRtTYw3o2QzMywau6HN66rNY0mlc2dPra5E/out-0.webp" ], "started_at": "2024-10-11T10:08:49.740700Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/bjgpg93a89rm20cjfc6th8gbkm", "cancel": "https://api.replicate.com/v1/predictions/bjgpg93a89rm20cjfc6th8gbkm/cancel" }, "version": "75f4226a56e37b3d81a257ee2f9c18166b146e9d0018babd4f0a10b1e6e89be8" }Generated inUsing seed: 21185 Prompt: A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, cream and navy blue color scheme with horizontal stripes. Urban background with brick buildings, flower shop storefront, blurred pedestrian, retro-futuristic aesthetic, photorealistic rendering. [!] txt2img mode Using dev model free=8681709993984 Downloading weights 2024-10-11T10:08:49Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp4yg39hmt/weights url=https://replicate.delivery/yhqm/LD5bmH27bMYONN2HFrJI32yOrFZBk765aKRTkNK9ee5pmqlTA/trained_model.tar 2024-10-11T10:08:50Z | INFO | [ Complete ] dest=/tmp/tmp4yg39hmt/weights size="172 MB" total_elapsed=1.048s url=https://replicate.delivery/yhqm/LD5bmH27bMYONN2HFrJI32yOrFZBk765aKRTkNK9ee5pmqlTA/trained_model.tar Downloaded weights in 1.08s Loaded LoRAs in 1.80s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:09, 2.96it/s] 7%|▋ | 2/28 [00:00<00:07, 3.30it/s] 11%|█ | 3/28 [00:00<00:07, 3.14it/s] 14%|█▍ | 4/28 [00:01<00:07, 3.06it/s] 18%|█▊ | 5/28 [00:01<00:07, 3.02it/s] 21%|██▏ | 6/28 [00:01<00:07, 3.00it/s] 25%|██▌ | 7/28 [00:02<00:07, 2.99it/s] 29%|██▊ | 8/28 [00:02<00:06, 2.98it/s] 32%|███▏ | 9/28 [00:02<00:06, 2.97it/s] 36%|███▌ | 10/28 [00:03<00:06, 2.97it/s] 39%|███▉ | 11/28 [00:03<00:05, 2.97it/s] 43%|████▎ | 12/28 [00:03<00:05, 2.96it/s] 46%|████▋ | 13/28 [00:04<00:05, 2.96it/s] 50%|█████ | 14/28 [00:04<00:04, 2.96it/s] 54%|█████▎ | 15/28 [00:05<00:04, 2.96it/s] 57%|█████▋ | 16/28 [00:05<00:04, 2.96it/s] 61%|██████ | 17/28 [00:05<00:03, 2.96it/s] 64%|██████▍ | 18/28 [00:06<00:03, 2.96it/s] 68%|██████▊ | 19/28 [00:06<00:03, 2.96it/s] 71%|███████▏ | 20/28 [00:06<00:02, 2.96it/s] 75%|███████▌ | 21/28 [00:07<00:02, 2.96it/s] 79%|███████▊ | 22/28 [00:07<00:02, 2.96it/s] 82%|████████▏ | 23/28 [00:07<00:01, 2.96it/s] 86%|████████▌ | 24/28 [00:08<00:01, 2.96it/s] 89%|████████▉ | 25/28 [00:08<00:01, 2.96it/s] 93%|█████████▎| 26/28 [00:08<00:00, 2.96it/s] 96%|█████████▋| 27/28 [00:09<00:00, 2.96it/s] 100%|██████████| 28/28 [00:09<00:00, 2.96it/s] 100%|██████████| 28/28 [00:09<00:00, 2.98it/s]Prediction
fofr/flux-tesla-robovan:75f4226a56e37b3d81a257ee2f9c18166b146e9d0018babd4f0a10b1e6e89be8IDfyqagh1a9srm20cjfc89xv3gpwStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, silver and black color scheme with horizontal stripes. Next to the Golden Gate bridge
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 3:2
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
- disable_safety_checker
{ "model": "dev", "prompt": "A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, silver and black color scheme with horizontal stripes. Next to the Golden Gate bridge", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28, "disable_safety_checker": false }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 fofr/flux-tesla-robovan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/flux-tesla-robovan:75f4226a56e37b3d81a257ee2f9c18166b146e9d0018babd4f0a10b1e6e89be8", { input: { model: "dev", prompt: "A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, silver and black color scheme with horizontal stripes. Next to the Golden Gate bridge", lora_scale: 1, num_outputs: 1, aspect_ratio: "3:2", output_format: "webp", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 fofr/flux-tesla-robovan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/flux-tesla-robovan:75f4226a56e37b3d81a257ee2f9c18166b146e9d0018babd4f0a10b1e6e89be8", input={ "model": "dev", "prompt": "A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, silver and black color scheme with horizontal stripes. Next to the Golden Gate bridge", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # 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 fofr/flux-tesla-robovan 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": "fofr/flux-tesla-robovan:75f4226a56e37b3d81a257ee2f9c18166b146e9d0018babd4f0a10b1e6e89be8", "input": { "model": "dev", "prompt": "A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, silver and black color scheme with horizontal stripes. Next to the Golden Gate bridge", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-10-11T10:12:00.294600Z", "created_at": "2024-10-11T10:11:49.966000Z", "data_removed": false, "error": null, "id": "fyqagh1a9srm20cjfc89xv3gpw", "input": { "model": "dev", "prompt": "A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, silver and black color scheme with horizontal stripes. Next to the Golden Gate bridge", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "3:2", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28, "disable_safety_checker": false }, "logs": "Using seed: 47450\nPrompt: A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, silver and black color scheme with horizontal stripes. Next to the Golden Gate bridge\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 0.59s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:09, 2.95it/s]\n 7%|▋ | 2/28 [00:00<00:07, 3.29it/s]\n 11%|█ | 3/28 [00:00<00:07, 3.13it/s]\n 14%|█▍ | 4/28 [00:01<00:07, 3.06it/s]\n 18%|█▊ | 5/28 [00:01<00:07, 3.02it/s]\n 21%|██▏ | 6/28 [00:01<00:07, 3.00it/s]\n 25%|██▌ | 7/28 [00:02<00:07, 2.99it/s]\n 29%|██▊ | 8/28 [00:02<00:06, 2.98it/s]\n 32%|███▏ | 9/28 [00:02<00:06, 2.97it/s]\n 36%|███▌ | 10/28 [00:03<00:06, 2.97it/s]\n 39%|███▉ | 11/28 [00:03<00:05, 2.97it/s]\n 43%|████▎ | 12/28 [00:03<00:05, 2.96it/s]\n 46%|████▋ | 13/28 [00:04<00:05, 2.96it/s]\n 50%|█████ | 14/28 [00:04<00:04, 2.96it/s]\n 54%|█████▎ | 15/28 [00:05<00:04, 2.96it/s]\n 57%|█████▋ | 16/28 [00:05<00:04, 2.96it/s]\n 61%|██████ | 17/28 [00:05<00:03, 2.96it/s]\n 64%|██████▍ | 18/28 [00:06<00:03, 2.96it/s]\n 68%|██████▊ | 19/28 [00:06<00:03, 2.96it/s]\n 71%|███████▏ | 20/28 [00:06<00:02, 2.96it/s]\n 75%|███████▌ | 21/28 [00:07<00:02, 2.96it/s]\n 79%|███████▊ | 22/28 [00:07<00:02, 2.96it/s]\n 82%|████████▏ | 23/28 [00:07<00:01, 2.96it/s]\n 86%|████████▌ | 24/28 [00:08<00:01, 2.96it/s]\n 89%|████████▉ | 25/28 [00:08<00:01, 2.96it/s]\n 93%|█████████▎| 26/28 [00:08<00:00, 2.96it/s]\n 96%|█████████▋| 27/28 [00:09<00:00, 2.96it/s]\n100%|██████████| 28/28 [00:09<00:00, 2.96it/s]\n100%|██████████| 28/28 [00:09<00:00, 2.98it/s]", "metrics": { "predict_time": 10.316460135, "total_time": 10.3286 }, "output": [ "https://replicate.delivery/yhqm/e7lkJT5qexoPV0pjKv3Ifhg528nvrr5A3ETsFfYPFaeBera5E/out-0.webp" ], "started_at": "2024-10-11T10:11:49.978140Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fyqagh1a9srm20cjfc89xv3gpw", "cancel": "https://api.replicate.com/v1/predictions/fyqagh1a9srm20cjfc89xv3gpw/cancel" }, "version": "75f4226a56e37b3d81a257ee2f9c18166b146e9d0018babd4f0a10b1e6e89be8" }Generated inUsing seed: 47450 Prompt: A photo of a Tesla ROBOVAN. Futuristic streamlined vehicle parked on a city street, sleek aerodynamic design, silver and black color scheme with horizontal stripes. Next to the Golden Gate bridge [!] txt2img mode Using dev model Loaded LoRAs in 0.59s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:09, 2.95it/s] 7%|▋ | 2/28 [00:00<00:07, 3.29it/s] 11%|█ | 3/28 [00:00<00:07, 3.13it/s] 14%|█▍ | 4/28 [00:01<00:07, 3.06it/s] 18%|█▊ | 5/28 [00:01<00:07, 3.02it/s] 21%|██▏ | 6/28 [00:01<00:07, 3.00it/s] 25%|██▌ | 7/28 [00:02<00:07, 2.99it/s] 29%|██▊ | 8/28 [00:02<00:06, 2.98it/s] 32%|███▏ | 9/28 [00:02<00:06, 2.97it/s] 36%|███▌ | 10/28 [00:03<00:06, 2.97it/s] 39%|███▉ | 11/28 [00:03<00:05, 2.97it/s] 43%|████▎ | 12/28 [00:03<00:05, 2.96it/s] 46%|████▋ | 13/28 [00:04<00:05, 2.96it/s] 50%|█████ | 14/28 [00:04<00:04, 2.96it/s] 54%|█████▎ | 15/28 [00:05<00:04, 2.96it/s] 57%|█████▋ | 16/28 [00:05<00:04, 2.96it/s] 61%|██████ | 17/28 [00:05<00:03, 2.96it/s] 64%|██████▍ | 18/28 [00:06<00:03, 2.96it/s] 68%|██████▊ | 19/28 [00:06<00:03, 2.96it/s] 71%|███████▏ | 20/28 [00:06<00:02, 2.96it/s] 75%|███████▌ | 21/28 [00:07<00:02, 2.96it/s] 79%|███████▊ | 22/28 [00:07<00:02, 2.96it/s] 82%|████████▏ | 23/28 [00:07<00:01, 2.96it/s] 86%|████████▌ | 24/28 [00:08<00:01, 2.96it/s] 89%|████████▉ | 25/28 [00:08<00:01, 2.96it/s] 93%|█████████▎| 26/28 [00:08<00:00, 2.96it/s] 96%|█████████▋| 27/28 [00:09<00:00, 2.96it/s] 100%|██████████| 28/28 [00:09<00:00, 2.96it/s] 100%|██████████| 28/28 [00:09<00:00, 2.98it/s]
Want to make some of these yourself?
Run this model
