fofr/hunyuan-cyberpunk-mod – Run with an API on Replicate

fofr / hunyuan-cyberpunk-mod

Hunyuan fine-tuned on Cyberpunk 2077 photorealistic graphics mods, use CYB77 keyword

Cold

Public
69 runs
H100
Fine-tune
Weights

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

prompt

string

Shift + Return to add a new line

In the style of CYB77, first person view of a gunfight in a cyberpunk cityIn the style of CYB77, first person view of a gunfight in a cyberpunk city

The text prompt describing your video scene.

Default: ""

lora_url

string

Shift + Return to add a new line

A URL pointing to your LoRA .safetensors file or a Hugging Face repo (e.g. 'user/repo' - uses the first .safetensors file).

Default: ""

lora_strength

number

(minimum: -10, maximum: 10)

Scale/strength for your LoRA.

Default: 1

scheduler

string

Algorithm used to generate the video frames.

Default: "DPMSolverMultistepScheduler"

steps

integer

(minimum: 1, maximum: 150)

Number of diffusion steps.

Default: 50

guidance_scale

number

(minimum: 0, maximum: 30)

Overall influence of text vs. model.

Default: 6

flow_shift

integer

(minimum: 0, maximum: 20)

Video continuity factor (flow).

Default: 9

num_frames

integer

(minimum: 1, maximum: 1440)

How many frames (duration) in the resulting video.

Default: 33

width

integer

(minimum: 64, maximum: 1536)

Width for the generated video.

Default: 640

height

integer

(minimum: 64, maximum: 1024)

Height for the generated video.

Default: 360

denoise_strength

number

(minimum: 0, maximum: 2)

Controls how strongly noise is applied each step.

Default: 1

force_offload

boolean

Whether to force model layers offloaded to CPU.

Default: true

frame_rate

integer

(minimum: 1, maximum: 60)

Video frame rate.

Default: 16

crf

integer

(minimum: 0, maximum: 51)

CRF (quality) for H264 encoding. Lower values = higher quality.

Default: 19

enhance_weight

number

(minimum: 0, maximum: 2)

Strength of the video enhancement effect.

Default: 0.3

enhance_single

boolean

Apply enhancement to individual frames.

Default: true

enhance_double

boolean

Apply enhancement across frame pairs.

Default: true

enhance_start

number

(minimum: 0, maximum: 1)

When to start enhancement in the video. Must be less than enhance_end.

Default: 0

enhance_end

number

(minimum: 0, maximum: 1)

When to end enhancement in the video. Must be greater than enhance_start.

Default: 1

seed

integer

Set a seed for reproducibility. Random by default.

Run this model in Node.js with one line of code:

npx create-replicate --model=fofr/hunyuan-cyberpunk-mod

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import 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/hunyuan-cyberpunk-mod using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/hunyuan-cyberpunk-mod:6095a5a5a4f81bccbf320e1a68051984c5a3c126495493a6c9656acd7e6d55c8",
  {
    input: {
      crf: 19,
      steps: 50,
      width: 854,
      height: 480,
      prompt: "In the style of CYB77, first person view of a gunfight in a cyberpunk city",
      lora_url: "",
      scheduler: "DPMSolverMultistepScheduler",
      flow_shift: 9,
      frame_rate: 24,
      num_frames: 85,
      enhance_end: 1,
      enhance_start: 0,
      force_offload: true,
      lora_strength: 1,
      enhance_double: true,
      enhance_single: true,
      enhance_weight: 0.3,
      guidance_scale: 6,
      denoise_strength: 1
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run fofr/hunyuan-cyberpunk-mod using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/hunyuan-cyberpunk-mod:6095a5a5a4f81bccbf320e1a68051984c5a3c126495493a6c9656acd7e6d55c8",
    input={
        "crf": 19,
        "steps": 50,
        "width": 854,
        "height": 480,
        "prompt": "In the style of CYB77, first person view of a gunfight in a cyberpunk city",
        "lora_url": "",
        "scheduler": "DPMSolverMultistepScheduler",
        "flow_shift": 9,
        "frame_rate": 24,
        "num_frames": 85,
        "enhance_end": 1,
        "enhance_start": 0,
        "force_offload": True,
        "lora_strength": 1,
        "enhance_double": True,
        "enhance_single": True,
        "enhance_weight": 0.3,
        "guidance_scale": 6,
        "denoise_strength": 1
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run fofr/hunyuan-cyberpunk-mod 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/hunyuan-cyberpunk-mod:6095a5a5a4f81bccbf320e1a68051984c5a3c126495493a6c9656acd7e6d55c8",
    "input": {
      "crf": 19,
      "steps": 50,
      "width": 854,
      "height": 480,
      "prompt": "In the style of CYB77, first person view of a gunfight in a cyberpunk city",
      "lora_url": "",
      "scheduler": "DPMSolverMultistepScheduler",
      "flow_shift": 9,
      "frame_rate": 24,
      "num_frames": 85,
      "enhance_end": 1,
      "enhance_start": 0,
      "force_offload": true,
      "lora_strength": 1,
      "enhance_double": true,
      "enhance_single": true,
      "enhance_weight": 0.3,
      "guidance_scale": 6,
      "denoise_strength": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2025-01-09T15:11:21.671066Z",
  "created_at": "2025-01-09T15:01:48.067000Z",
  "data_removed": false,
  "error": null,
  "id": "pvk3t8qvmdrm80cm9ear40zbfm",
  "input": {
    "crf": 19,
    "steps": 50,
    "width": 854,
    "height": 480,
    "prompt": "In the style of CYB77, first person view of a gunfight in a cyberpunk city",
    "lora_url": "",
    "flow_shift": 9,
    "frame_rate": 24,
    "num_frames": 85,
    "force_offload": true,
    "lora_strength": 1,
    "guidance_scale": 6,
    "denoise_strength": 1
  },
  "logs": "Random seed set to: 2729311902\nChecking inputs\n====================================\nChecking weights\n✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae\n✅ hunyuan_video_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models\n====================================\nRunning workflow\n[ComfyUI] got prompt\nExecuting node 7, title: HunyuanVideo VAE Loader, class type: HyVideoVAELoader\nExecuting node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder\n[ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\n[ComfyUI] Text encoder to dtype: torch.float16\n[ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14\n[ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer\n[ComfyUI]\n[ComfyUI] Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]\n[ComfyUI] Loading checkpoint shards:  25%|██▌       | 1/4 [00:00<00:01,  1.69it/s]\n[ComfyUI] Loading checkpoint shards:  50%|█████     | 2/4 [00:01<00:01,  1.74it/s]\n[ComfyUI] Loading checkpoint shards:  75%|███████▌  | 3/4 [00:01<00:00,  1.77it/s]\n[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00,  2.22it/s]\n[ComfyUI] Text encoder to dtype: torch.float16\n[ComfyUI] Loading tokenizer (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer\nExecuting node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode\n[ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 21\n[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 22\nExecuting node 41, title: HunyuanVideo Lora Select, class type: HyVideoLoraSelect\nExecuting node 1, title: HunyuanVideo Model Loader, class type: HyVideoModelLoader\n[ComfyUI] model_type FLOW\n[ComfyUI] Using accelerate to load and assign model weights to device...\n[ComfyUI] Loading LoRA: lora_comfyui with strength: 1.0\n[ComfyUI] Requested to load HyVideoModel\n[ComfyUI] Loading 1 new model\n[ComfyUI] loaded completely 0.0 12555.953247070312 True\n[ComfyUI] Input (height, width, video_length) = (480, 854, 85)\nExecuting node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler\n[ComfyUI] Sampling 85 frames in 22 latents at 864x480 with 50 inference steps\n[ComfyUI] Scheduler config: FrozenDict([('num_train_timesteps', 1000), ('shift', 9.0), ('reverse', True), ('solver', 'euler'), ('n_tokens', None), ('_use_default_values', ['num_train_timesteps', 'n_tokens'])])\n[ComfyUI]\n[ComfyUI] 0%|          | 0/50 [00:00<?, ?it/s]\n[ComfyUI] 2%|▏         | 1/50 [00:07<05:46,  7.06s/it]\n[ComfyUI] 4%|▍         | 2/50 [00:16<06:45,  8.44s/it]\n[ComfyUI] 6%|▌         | 3/50 [00:25<06:57,  8.88s/it]\n[ComfyUI] 8%|▊         | 4/50 [00:35<06:58,  9.09s/it]\n[ComfyUI] 10%|█         | 5/50 [00:44<06:54,  9.21s/it]\n[ComfyUI] 12%|█▏        | 6/50 [00:54<06:48,  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[00:01<00:03,  1.97s/it]\n[ComfyUI] Decoding rows:  67%|██████▋   | 2/3 [00:04<00:02,  2.04s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:04<00:00,  1.50s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:04<00:00,  1.64s/it]\n[ComfyUI]\n[ComfyUI] Blending tiles:   0%|          | 0/3 [00:00<?, ?it/s]\n[ComfyUI] Blending tiles: 100%|██████████| 3/3 [00:00<00:00, 36.46it/s]\n[ComfyUI]\n[ComfyUI] Decoding rows:   0%|          | 0/3 [00:00<?, ?it/s]\n[ComfyUI] Decoding rows:  33%|███▎      | 1/3 [00:01<00:02,  1.12s/it]\n[ComfyUI] Decoding rows:  67%|██████▋   | 2/3 [00:02<00:01,  1.15s/it]\n[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:02<00:00,  1.17it/s]\n[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:02<00:00,  1.08it/s]\n[ComfyUI]\n[ComfyUI] Blending tiles:   0%|          | 0/3 [00:00<?, ?it/s]\nExecuting node 34, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine\n[ComfyUI] Blending tiles: 100%|██████████| 3/3 [00:00<00:00, 50.34it/s]\n[ComfyUI] Prompt executed in 507.93 seconds\noutputs:  {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 24.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}}\n====================================\nHunyuanVideo_00001.png\nHunyuanVideo_00001.mp4",
  "metrics": {
    "predict_time": 512.155463706,
    "total_time": 573.604066
  },
  "output": "https://replicate.delivery/xezq/n6DhktRQrALkCJy2zA8Pk0DvMnud9OKjvZbjNtdtLZRGZ2AF/HunyuanVideo_00001.mp4",
  "started_at": "2025-01-09T15:02:49.515603Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-ycn5oaf54scflbxsmq57dxaju5sroixgnlzkhwmuadgfd6pmuj7a",
    "get": "https://api.replicate.com/v1/predictions/pvk3t8qvmdrm80cm9ear40zbfm",
    "cancel": "https://api.replicate.com/v1/predictions/pvk3t8qvmdrm80cm9ear40zbfm/cancel"
  },
  "version": "6095a5a5a4f81bccbf320e1a68051984c5a3c126495493a6c9656acd7e6d55c8"
}

Generated in

8 minutes 32 seconds

Tweak it Share Report

Random seed set to: 2729311902
Checking inputs
====================================
Checking weights
✅ hunyuan_video_vae_bf16.safetensors exists in ComfyUI/models/vae
✅ hunyuan_video_720_fp8_e4m3fn.safetensors exists in ComfyUI/models/diffusion_models
====================================
Running workflow
[ComfyUI] got prompt
Executing node 7, title: HunyuanVideo VAE Loader, class type: HyVideoVAELoader
Executing node 16, title: (Down)Load HunyuanVideo TextEncoder, class type: DownloadAndLoadHyVideoTextEncoder
[ComfyUI] Loading text encoder model (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14
[ComfyUI] Text encoder to dtype: torch.float16
[ComfyUI] Loading tokenizer (clipL) from: /src/ComfyUI/models/clip/clip-vit-large-patch14
[ComfyUI] Loading text encoder model (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer
[ComfyUI]
[ComfyUI] Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
[ComfyUI] Loading checkpoint shards:  25%|██▌       | 1/4 [00:00<00:01,  1.69it/s]
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[ComfyUI] Loading checkpoint shards:  75%|███████▌  | 3/4 [00:01<00:00,  1.77it/s]
[ComfyUI] Loading checkpoint shards: 100%|██████████| 4/4 [00:01<00:00,  2.22it/s]
[ComfyUI] Text encoder to dtype: torch.float16
[ComfyUI] Loading tokenizer (llm) from: /src/ComfyUI/models/LLM/llava-llama-3-8b-text-encoder-tokenizer
Executing node 30, title: HunyuanVideo TextEncode, class type: HyVideoTextEncode
[ComfyUI] llm prompt attention_mask shape: torch.Size([1, 161]), masked tokens: 21
[ComfyUI] clipL prompt attention_mask shape: torch.Size([1, 77]), masked tokens: 22
Executing node 41, title: HunyuanVideo Lora Select, class type: HyVideoLoraSelect
Executing node 1, title: HunyuanVideo Model Loader, class type: HyVideoModelLoader
[ComfyUI] model_type FLOW
[ComfyUI] Using accelerate to load and assign model weights to device...
[ComfyUI] Loading LoRA: lora_comfyui with strength: 1.0
[ComfyUI] Requested to load HyVideoModel
[ComfyUI] Loading 1 new model
[ComfyUI] loaded completely 0.0 12555.953247070312 True
[ComfyUI] Input (height, width, video_length) = (480, 854, 85)
Executing node 3, title: HunyuanVideo Sampler, class type: HyVideoSampler
[ComfyUI] Sampling 85 frames in 22 latents at 864x480 with 50 inference steps
[ComfyUI] Scheduler config: FrozenDict([('num_train_timesteps', 1000), ('shift', 9.0), ('reverse', True), ('solver', 'euler'), ('n_tokens', None), ('_use_default_values', ['num_train_timesteps', 'n_tokens'])])
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[ComfyUI] 100%|██████████| 50/50 [07:47<00:00,  9.35s/it]
[ComfyUI] Allocated memory: memory=12.762 GB
[ComfyUI] Max allocated memory: max_memory=22.439 GB
[ComfyUI] Max reserved memory: max_reserved=26.000 GB
Executing node 5, title: HunyuanVideo Decode, class type: HyVideoDecode
[ComfyUI]
[ComfyUI] Decoding rows:   0%|          | 0/3 [00:00<?, ?it/s]
[ComfyUI] Decoding rows:  33%|███▎      | 1/3 [00:01<00:03,  1.97s/it]
[ComfyUI] Decoding rows:  67%|██████▋   | 2/3 [00:04<00:02,  2.04s/it]
[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:04<00:00,  1.50s/it]
[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:04<00:00,  1.64s/it]
[ComfyUI]
[ComfyUI] Blending tiles:   0%|          | 0/3 [00:00<?, ?it/s]
[ComfyUI] Blending tiles: 100%|██████████| 3/3 [00:00<00:00, 36.46it/s]
[ComfyUI]
[ComfyUI] Decoding rows:   0%|          | 0/3 [00:00<?, ?it/s]
[ComfyUI] Decoding rows:  33%|███▎      | 1/3 [00:01<00:02,  1.12s/it]
[ComfyUI] Decoding rows:  67%|██████▋   | 2/3 [00:02<00:01,  1.15s/it]
[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:02<00:00,  1.17it/s]
[ComfyUI] Decoding rows: 100%|██████████| 3/3 [00:02<00:00,  1.08it/s]
[ComfyUI]
[ComfyUI] Blending tiles:   0%|          | 0/3 [00:00<?, ?it/s]
Executing node 34, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine
[ComfyUI] Blending tiles: 100%|██████████| 3/3 [00:00<00:00, 50.34it/s]
[ComfyUI] Prompt executed in 507.93 seconds
outputs:  {'34': {'gifs': [{'filename': 'HunyuanVideo_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 24.0, 'workflow': 'HunyuanVideo_00001.png', 'fullpath': '/tmp/outputs/HunyuanVideo_00001.mp4'}]}}
====================================
HunyuanVideo_00001.png
HunyuanVideo_00001.mp4