config.json

{
  "_class_name": "FluxPipeline",
  "_diffusers_version": "0.19.0",
  "force_zeros_for_empty_prompt": true,
  "add_watermarker": false,
  "feature_extractor": [
    "transformers",
    "CLIPImageProcessor"
  ],
  "text_encoder": [
    "transformers",
    "CLIPTextModel"
  ],
  "text_encoder_2": [
    "transformers",
    "CLIPTextModelWithProjection"
  ],
  "tokenizer": [
    "transformers",
    "CLIPTokenizer"
  ],
  "tokenizer_2": [
    "transformers",
    "CLIPTokenizer"
  ],
  "transformer": [
    "diffusers",
    "FluxTransformerModel"
  ],
  "vae": [
    "diffusers",
    "AutoencoderKL"
  ],
  "model_type": "flux-rectified-flow",
  "architecture": "rectified-flow-transformer",
  "parameters": 12000000000,
  "prediction_type": "flow",
  "max_sequence_length": 256,
  "requires_safety_checker": false,
  "safety_checker": null,
  "original_model": "black-forest-labs/FLUX.1-schnell",
  "model_description": "A 12 billion parameter rectified flow transformer capable of generating images from text descriptions using a hybrid architecture of multimodal and parallel diffusion transformer blocks",
  "quantization": {
    "method": "mflux",
    "version": "0.6.2",
    "bits": 8,
    "original_dtype": "float16"
  },
  "memory_requirements": {
    "original_fp16": "~57 GB",
    "quantized_8bit": "~18 GB"
  },
  "recommended_inference_parameters": {
    "steps": 2,
    "guidance_scale": 0.0,
    "max_sequence_length": 256
  },
  "license": "apache-2.0"
}