Model API'si

FLUX.1 [dev] with Controlnets and Loras

FLUX.1 diferansiyel difüzyon ile görseli bir değişim haritasına göre düzenle.

Model kimliği

Her istekte bunu kullan

flux-general/differential-diffusion

Çalıştır

Girdiye ücret teklifi al, bu teklifle üretimi başlat, ardından işin durumunu sorgula. Önce RAYWAKE_API_KEY değişkenini ayarla; ayrıntılar için Kimlik doğrulama sayfasına bak.

# 1. Price the exact input (quotes are valid for up to 10 minutes)
curl -s https://api.raywake.com/v1/quotes \
  -H "Authorization: Bearer $RAYWAKE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "flux-general/differential-diffusion",
  "input": {
    "prompt": "A red ceramic cup on a wooden table, soft morning light",
    "image_url": "https://example.com/input.png",
    "change_map_image_url": "https://example.com/input.png"
  }
}'

# 2. Start the generation with the quote_id from step 1
curl -s https://api.raywake.com/v1/generate \
  -H "Authorization: Bearer $RAYWAKE_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{"model": "flux-general/differential-diffusion", "quote_id": "QUOTE_ID", "input": {"prompt":"A red ceramic cup on a wooden table, soft morning light","image_url":"https://example.com/input.png","change_map_image_url":"https://example.com/input.png"}}'

# 3. Poll until the status is terminal
curl -s https://api.raywake.com/v1/jobs/JOB_ID \
  -H "Authorization: Bearer $RAYWAKE_API_KEY"

Girdi

flux-general/differential-diffusion girdi alanları
Alan	Tür	Açıklama
`prompt`zorunlu	string	The prompt to generate an image from.
`image_size`	string (enum)	The size of the generated image. Seçenekler: `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`
`num_inference_steps`	integer	The number of inference steps to perform. Varsayılan: `28`
`seed`	integer	The same seed and the same prompt given to the same version of the model will output the same image every time.
`loras`	array of objects	The LoRAs to use for the image generation. You can use any number of LoRAs and they will be merged together to generate the final image.
`control_loras`	array of objects	The LoRAs to use for the image generation which use a control image. You can use any number of LoRAs and they will be merged together to generate the final image.
`controlnets`	array of objects	The controlnets to use for the image generation. Only one controlnet is supported at the moment.
`controlnet_unions`	array of objects	The controlnet unions to use for the image generation. Only one controlnet is supported at the moment.
`ip_adapters`	array of objects	IP-Adapter to use for image generation.
`easycontrols`	array of objects	EasyControl Inputs to use for image generation.
`fill_image`	object	Use an image input to influence the generation. Can be used to fill images in masked areas.
`guidance_scale`	number	The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. Varsayılan: `3.5`
`real_cfg_scale`	number	The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. Varsayılan: `3.5`
`use_real_cfg`	boolean	Uses classical CFG as in SD1.5, SDXL, etc. Increases generation times and price when set to be true. If using XLabs IP-Adapter v1, this will be turned on!. Varsayılan: `false`
`use_cfg_zero`	boolean	Uses CFG-zero init sampling as in https://arxiv.org/abs/2503.18886. Varsayılan: `false`
`sync_mode`	boolean	If `True`, the media will be returned as a data URI and the output data won't be available in the request history. Varsayılan: `false`
`num_images`	integer	The number of images to generate. This is always set to 1 for streaming output. Varsayılan: `1`
`reference_image_url`	string (image URL)	URL of Image for Reference-Only
`reference_strength`	number	Strength of reference_only generation. Only used if a reference image is provided. Varsayılan: `0.65`
`reference_start`	number	The percentage of the total timesteps when the reference guidance is to bestarted. Varsayılan: `0`
`reference_end`	number	The percentage of the total timesteps when the reference guidance is to be ended. Varsayılan: `1`
`base_shift`	number	Base shift for the scheduled timesteps Varsayılan: `0.5`
`max_shift`	number	Max shift for the scheduled timesteps Varsayılan: `1.15`
`output_format`	string (enum)	The format of the generated image. Varsayılan: `png` Seçenekler: `jpeg`, `png`
`use_beta_schedule`	boolean	Specifies whether beta sigmas ought to be used. Varsayılan: `false`
`sigma_schedule`	string	Sigmas schedule for the denoising process.
`scheduler`	string (enum)	Scheduler for the denoising process. Varsayılan: `euler` Seçenekler: `euler`, `dpmpp_2m`
`negative_prompt`	string	Negative prompt to steer the image generation away from unwanted features. By default, we will be using NAG for processing the negative prompt.
`nag_scale`	number	The scale for NAG. Higher values will result in a image that is more distant to the negative prompt. Varsayılan: `3`
`nag_tau`	number	The tau for NAG. Controls the normalization of the hidden state. Higher values will result in a less aggressive normalization, but may also lead to unexpected changes with respect to the original image. Not recommended to change this value. Varsayılan: `2.5`
`nag_alpha`	number	The alpha value for NAG. This value is used as a final weighting factor for steering the normalized guidance (positive and negative prompts) in the direction of the positive prompt. Higher values will result in less steering on the normalized guidance where lower values will result in considering the positive prompt guidance more. Varsayılan: `0.25`
`nag_end`	number	The proportion of steps to apply NAG. After the specified proportion of steps has been iterated, the remaining steps will use original attention processors in FLUX. Varsayılan: `0.25`
`image_url`zorunlu	string (image URL)	URL of image to use as initial image.
`change_map_image_url`zorunlu	string (image URL)	URL of change map.
`strength`	number	The strength to use for differential diffusion. 1.0 is completely remakes the image while 0.0 preserves the original. Varsayılan: `0.85`

Çıktı

Başarılı bir iş, sonuçlarını outputs altında listeler; dosyalar bizim tarafımızda saklanır. Tüm alanlar için İşler sayfasına bak.

İş yanıtından bir bölüm

"outputs": [
  { "type": "image", "url": "https://…", "mime_type": "image/png", "thumbnail_url": "https://…" }
]

Fiyatlandırma

en fazla$0,60/ üretim

Girdinin kesin ücreti ücret teklifinden gelir. Bakiye nasıl kesinleşir?