diffusers-workflow/workflows/models/flux2-dev.json at master · dkackman/diffusers-workflow · GitHub

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{
    "cost_drivers": ["num_images_per_prompt", "num_inference_steps"],
    "variables": {
        "prompt": "A realistic photograph of a mouse wearing a skirt playing volleyball against a team of professional volleyball players.",
        "num_images_per_prompt": 1,
        "num_inference_steps": 40,
        "guidance_scale": 4.0,
        "seed": null
    },
    "id": "Flux2Dev",
    "description": "Text-to-image with FLUX.2 dev, pre-quantized to 4-bit BitsAndBytes. The 4-bit text encoder is loaded first as its own component and rested on the CPU, since BitsAndBytes materializes on the accelerator and the two together do not fit at load; model offloading then hands the accelerator to one component at a time, so both run on a 24 GB card.",
    "cost": [
        {
            "device": "cuda",
            "name": "RTX 3090",
            "vram_gb": 24,
            "minutes": 3.3
        }
    ],
    "configures": "templates/text-to-image",
    "seed": "variable:seed",
    "steps": [
        {
            "name": "txt2img",
            "pipeline": {
                "configuration": {
                    "component_type": "Flux2Pipeline",
                    "offload": "model"
                },
                "text_encoder": {
                    "configuration": {
                        "component_type": "transformers.Mistral3ForConditionalGeneration",
                        "device": "cpu"
                    },
                    "from_pretrained_arguments": {
                        "model_name": "diffusers/FLUX.2-dev-bnb-4bit",
                        "subfolder": "text_encoder",
                        "torch_dtype": "torch.bfloat16"
                    }
                },
                "from_pretrained_arguments": {
                    "model_name": "diffusers/FLUX.2-dev-bnb-4bit",
                    "torch_dtype": "torch.bfloat16"
                },
                "arguments": {
                    "prompt": "variable:prompt",
                    "num_inference_steps": "variable:num_inference_steps",
                    "num_images_per_prompt": "variable:num_images_per_prompt",
                    "guidance_scale": "variable:guidance_scale"
                }
            },
            "result": {
                "content_type": "image/jpeg",
                "embed_metadata": true
            }
        }
    ]
}