Flux.1 Dev OneReward
Supports various tasks such as image inpainting, outpainting, and object removal by bytedance-research team
About
The 'Flux.1 Dev OneReward' workflow is a versatile tool designed for image manipulation tasks such as inpainting, outpainting, and object removal. Developed by the bytedance-research team, this workflow leverages the Flux.1 model to seamlessly fill in or extend parts of an image. The workflow employs a series of nodes, including LoadImage, SaveImage, and PreviewImage, to manage the input and output processes. The core functionality is driven by nodes like cb0eaf1c-704f-477d-8893-79665db14ed1 and b8560576-5524-4495-baa5-2cb40da12e9e, which handle the complex computations required for high-quality image editing.
This makes it particularly useful for creative professionals and enthusiasts who need precise control over image content.
What you provide
- Reading the workflow
Runs in ComfyUI. This workflow can't run on this page. Open it in Comfy Cloud with everything loaded, or download it for your own ComfyUI.
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- ComfyUI
Requires custom nodes
- Reading the workflow
Use this workflow from code
Generated from the workflow graph and inputs when possible; stored examples are shown otherwise. Review credentials and endpoints before running code, which may incur charges.
What you need
- Runs on
- Comfy Cloud
- Key
- COMFY_API_KEY
Needs a paid Cloud plan and credits.
# Python 3.10+: pip install comfy-sdk==0.4.0
import os
from comfy_sdk import Comfy
api_key = os.environ.get("COMFY_API_KEY", "").strip()
if not api_key: raise RuntimeError("Set COMFY_API_KEY")
os.environ.setdefault("COMFY_BASE_URL", "https://cloud.comfy.org")
client = Comfy(api_key=api_key)
workflow = client.workflows.from_json({
"17": {
"class_type": "LoadImage",
"inputs": {
"image": "image_flux.1_fill_dev_OneReward_input_image.png"
},
"_meta": {
"title": "Load Image"
}
},
"62": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI",
"images": [
"110:65",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"105": {
"class_type": "PreviewImage",
"inputs": {
"images": [
"108:8",
0
]
},
"_meta": {
"title": "Preview Image"
}
},
"121": {
"class_type": "PreviewImage",
"inputs": {
"images": [
"17",
0
]
},
"_meta": {
"title": "Preview Image"
}
},
"108:100": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"lora_name": "removal_timestep_alpha-2-1740.safetensors",
"model": [
"108:31",
0
],
"strength_model": 1
},
"_meta": {
"title": "Load LoRA"
}
},
"108:23": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"108:34",
0
],
"text": "Remove the girl's hat\n"
},
"_meta": {
"title": "CLIP Text Encode (Positive Prompt)"
}
},
"108:26": {
"class_type": "FluxGuidance",
"inputs": {
"conditioning": [
"108:23",
0
],
"guidance": 30
},
"_meta": {
"title": "FluxGuidance"
}
},
"108:3": {
"class_type": "KSampler",
"inputs": {
"cfg": 1,
"denoise": 1,
"latent_image": [
"108:38",
2
],
"model": [
"108:39",
0
],
"negative": [
"108:38",
1
],
"positive": [
"108:38",
0
],
"sampler_name": "euler",
"scheduler": "normal",
"seed": 1100974460616450,
"steps": 20
},
"_meta": {
"title": "KSampler"
}
},
"108:31": {
"class_type": "UNETLoader",
"inputs": {
"unet_name": "flux.1-fill-dev-OneReward-transformer_fp8.safetensors",
"weight_dtype": "default"
},
"_meta": {
"title": "Load Diffusion Model"
}
},
"108:32": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "ae.safetensors"
},
"_meta": {
"title": "Load VAE"
}
},
"108:34": {
"class_type": "DualCLIPLoader",
"inputs": {
"clip_name1": "clip_l.safetensors",
"clip_name2": "t5xxl_fp16.safetensors",
"device": "default",
"type": "flux"
},
"_meta": {
"title": "Load CLIP (Dual)"
}
},
"108:38": {
"class_type": "InpaintModelConditioning",
"inputs": {
"mask": [
"17",
1
],
"negative": [
"108:46",
0
],
"noise_mask": True,
"pixels": [
"17",
0
],
"positive": [
"108:26",
0
],
"vae": [
"108:32",
0
]
},
"_meta": {
"title": "InpaintModelConditioning"
}
},
"108:39": {
"class_type": "DifferentialDiffusion",
"inputs": {
"model": [
"108:100",
0
],
"strength": 1
},
"_meta": {
"title": "Differential Diffusion"
}
},
"108:46": {
"class_type": "ConditioningZeroOut",
"inputs": {
"conditioning": [
"108:23",
0
]
},
"_meta": {
"title": "Conditioning Zero Out"
}
},
"108:8": {
"class_type": "VAEDecode",
"inputs": {
"samples": [
"108:3",
0
],
"vae": [
"108:32",
0
]
},
"_meta": {
"title": "VAE Decode"
}
},
"110:57": {
"class_type": "DualCLIPLoader",
"inputs": {
"clip_name1": "clip_l.safetensors",
"clip_name2": "t5xxl_fp16.safetensors",
"device": "default",
"type": "flux"
},
"_meta": {
"title": "Load CLIP (Dual)"
}
},
"110:58": {
"class_type": "KSampler",
"inputs": {
"cfg": 1,
"denoise": 1,
"latent_image": [
"110:73",
0
],
"model": [
"110:63",
0
],
"negative": [
"110:71",
1
],
"positive": [
"110:71",
0
],
"sampler_name": "euler",
"scheduler": "normal",
"seed": 325184035774450,
"steps": 20
},
"_meta": {
"title": "KSampler"
}
},
"110:59": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "ae.safetensors"
},
"_meta": {
"title": "Load VAE"
}
},
"110:60": {
"class_type": "FluxGuidance",
"inputs": {
"conditioning": [
"110:74",
0
],
"guidance": 30
},
"_meta": {
"title": "FluxGuidance"
}
},
"110:61": {
"class_type": "ConditioningZeroOut",
"inputs": {
"conditioning": [
"110:74",
0
]
},
"_meta": {
"title": "Conditioning Zero Out"
}
},
"110:63": {
"class_type": "DifferentialDiffusion",
"inputs": {
"model": [
"110:64",
0
],
"strength": 1
},
"_meta": {
"title": "Differential Diffusion"
}
},
"110:64": {
"class_type": "UNETLoader",
"inputs": {
"unet_name": "flux.1-fill-dev-OneReward-transformer_fp8.safetensors",
"weight_dtype": "default"
},
"_meta": {
"title": "Load Diffusion Model"
}
},
"110:65": {
"class_type": "VAEDecode",
"inputs": {
"samples": [
"110:58",
0
],
"vae": [
"110:59",
0
]
},
"_meta": {
"title": "VAE Decode"
}
},
"110:71": {
"class_type": "InpaintModelConditioning",
"inputs": {
"mask": [
"110:75",
1
],
"negative": [
"110:61",
0
],
"noise_mask": False,
"pixels": [
"110:75",
0
],
"positive": [
"110:60",
0
],
"vae": [
"110:59",
0
]
},
"_meta": {
"title": "InpaintModelConditioning"
}
},
"110:73": {
"class_type": "SetLatentNoiseMask",
"inputs": {
"mask": [
"110:75",
1
],
"samples": [
"110:71",
2
]
},
"_meta": {
"title": "Set Latent Noise Mask"
}
},
"110:74": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"110:57",
0
],
"text": ""
},
"_meta": {
"title": "CLIP Text Encode (Positive Prompt)"
}
},
"110:75": {
"class_type": "ImagePadForOutpaint",
"inputs": {
"bottom": 104,
"feathering": 40,
"image": [
"17",
0
],
"left": 40,
"right": 104,
"top": 0
},
"_meta": {
"title": "Pad Image for Outpainting"
}
}
})
# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)Questions & answers
The Flux.1 model is used for inpainting and outpainting tasks, allowing for seamless filling or extension of image areas.
No, this workflow is specifically designed for still images. Video editing would require a different set of tools and models.
You can edit the mask by right-clicking on the Load Image node and selecting Open in 'Maskeditor' to define the areas you want to modify.
Yes, it is recommended to update ComfyUI to ensure compatibility and access to the latest features and models.