ᡤᡝᠯᡳ ᡩᡝ ᠵᡠᠸᡝᠨ

FLUX.1 [dev] with Controlnets and Loras · Differential Diffusion

ᠵᡠᠸᡝᠪᡠᠮᠪᡳ

ᠮᠣᡩᡝᠯ id flux-general/differential-diffusion
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/v1/run/flux-general/differential-diffusion?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "change_map_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

ᡝᠨᡳ ᠵᠠᠯᡳᠨ: ≈$0.138 138 API ᠺᠷᡝᡩᡳᠲ ᡝᡵᡝ ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ

API ᡩᠠᠮᡠᠨ ᡤᠠᠯᠠ
Black Forest Labs ᡤᠠᠳᠠᠨ ᠵᠠᠰᡳᠨ ᡩᠠᠯᡳᠨ ᡳ ᠠᠯᡳᠨ #lora#controlnet#ip-adapter

FLUX.1 [dev] ᡳ ᠵᠠᠯᠠᠨ ᠵᠠᠰᠠᠮᠪᡳ᠂ ᠵᠠᠰᠠᠯᡤᠠᠨ ᡳ ᠴᡳᠯᡤᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠮᠪᡳ

Black Forest Labs · ᡤᠠᠳᠠᠨ

ᡳᠨᡝ ᡝᠮᡠᠨᡳᠩᡤᡝ ᡝᡵᡝᠮᡝ ᡩᡝ

ᡝᡵᡝ ᠵᡠᠯᡝᠨ ᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠪᠠᠶᠠᠨᠠᠮᡝ ᠠᠮᡪᠠᠯᠠ ᡶᡳᠯᡝᠮᡝ ᠪᡝᠶᡝᠮᡝ᠃ API ᠵᡳᡵᡤᠠᡳ ᡤᠠᡳᡥᠠᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠵᠠᠯᠠᠨᠠᠮᡝ ᠪᡠᠶᡝᠮᡝ ᠮᡠᠰᡝᡳ ᠰᡠᠯᡠᠨᡩᡝ ᠪᠠᠶᠠᠨᠠᠮᡝ᠂ ᠝ᠮᡤᡳ ᠮᡠᠰᡝ ᠠᠶᠠᠨ 7 ᡥᠠᠨ ᠰᠠᡳᠨᠠᠮᡝ᠃

ᡤᡳᠰᡠᠨ ᠪᡠᠶᡝᠮᡝ

ᠵᠠᡴᡠᠨᡳ ᠵᡠᠯᡝ ᡩᡝᡵᡤᡳ ᡩᡝᠪᡝᠰᡠᠮᡝ ᠵᡠᠯᡤᡝ ᠪᡠᠶᡝᠮᡝ᠈ ᡳᠨᡳ ᡤᡳᠰᡠᠨ ᠪᠠᡳ ᡝᠨᡝᠩᡤᡳ ᠠᠮᠪᡳ

•ᡴᠠᠷᠠᡴᡡ

ᡤᠠᠳᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᡥᡡᠯᠠᠨ᠉

•ᡴᠠᠷᠠᡴᡡ image_url
ᠪᡠᠮᠪᡳ ᡝᠮᡠ ᡩᠠᡵᠠᠮᡝ

ᡳᠯᡤᠠᠮᡝ ᠮᡠᠩᡤᠠᠨ ᡳ ᡤᠠᠳᠠᠨ ᡳ URL.

•ᡴᠠᠷᠠᡴᡡ
ᠪᡠᠮᠪᡳ ᡝᠮᡠ ᡩᠠᡵᠠᠮᡝ

ᡤᠠᠯᡤᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᡩᠠᠯᡵᡳᠮᡝ ᡳᠯᡝᠨ ᡳ URL.

image_size

ᠪᡠᠶᡝᠮᡝ ᡤᠠᠳᠠᠨ ᡳ ᡤᡳᡵᠠᠨ.

num_images ᠵᡠᠯᡝ 1

ᠮᡠᠩᡤᠠᠨ ᡳ ᡤᠠᠯᡥᠠᠨ ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᡠᠰᡠ; ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᡤᠠᠯᡥᠠ 1.

ᠵᡠᠯᡤᡝ ᠵᡝᡵᡤᡳ negative_prompt · reference_image_url · output_format · scheduler · sigma_schedule · num_inference_steps · guidance_scale · real_cfg_scale · reference_strength · reference_start · reference_end · base_shift · max_shift · nag_scale · nag_tau · nag_alpha · nag_end · strength · seed · use_real_cfg · use_cfg_zero · enable_safety_checker · use_beta_schedule · loras · control_loras · controlnets · controlnet_unions · ip_adapters · easycontrols · fill_image
ᠵᡠᠯᡝ

NAG ᡳ ᠠᡵᠠ ᡩᡝ ᠵᡠᠯᡝ ᠵᠠᠯᠠᠨ ᡥᡡᠯᠠᠨ᠂ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠠᠰᡥᠠᠨ ᡩᠠᠯᠵᡳᠮᡝ.

ᠪᡠᠮᠪᡳ ᡝᠮᡠ ᡩᠠᡵᠠᠮᡝ

Reference-Only ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᠠᠰᡥᠠᠮᡝ ᠮᡠᠩᡤᠠᠨ ᡳ URL.

output_format ᠵᡠᠯᡝ png

ᠪᡠᠶᡝᠮᡝ ᠵᡠᠴᡝᠨ ᡳ ᡶᡳᠯᡝ ᡳ ᠵᡠᠰᡝ᠉

scheduler ᠵᡠᠯᡝ euler

ᠵᠠᠯᠠᠨ ᡳ ᠰᠠᠶᠠᠨ ᠵᠠᠯᠠᠨ.

ᠵᠠᠯᠠᠨ ᡳ sigma ᠵᠠᠯᠠᠨ.

ᠵᡠᠯᡝ 28

ᠶᠠᠪᡠᠯᠠᡵᠠ ᡠᠯᡥᡳᠰᡠ ᠪᠣᡩᠣᡵᠣ ᠠᠯᡥᠠ ᡳ ᡨᠣᠨ.

ᠵᡠᠯᡝ 3.5

ᡥᡡᠯᠠᠨ ᡩᡝ ᠵᠠᡴᡠᠨ ᠵᡠᠯᡝᠮᡝ ᠤᠯᠠᡥᠠᠨ, CFG (Classifier Free Guidance) ᡩᡝ ᠵᡠᠯᡝᠮᡝ.

ᠵᡠᠯᡝ 3.5

ᡥᡡᠯᠠᠨ ᡩᡝ ᠵᠠᡴᡠᠨ ᠵᡠᠯᡝᠮᡝ ᠤᠯᠠᡥᠠᠨ, CFG (Classifier Free Guidance) ᡩᡝ ᠵᡠᠯᡝᠮᡝ.

ᠵᡠᠯᡝ 0.65

reference_only ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᠠᠯᠠᠨ ᡤᠠᠯᡤᠠᠨ; ᡝᡵᡝᠮᡝ ᠪᡠᡥᡝ ᠵᠠᠯᠠᠨ ᠠᠮᠠᠰᡳ ᠵᠠᠯᠠᠨ ᠪᡠᠶᡝᠮᡝᠮᡝ ᠮᠠᠨᠵᡳᠮᡝ ᠠᠮᠠᠰᡳ ᠪᡳ.

ᠵᡠᠯᡝ 0

Reference ᠵᠠᠯᠠᠨ ᡳ ᡳᠯᡤᠠᠮᡝ ᠵᠠᡥᠠᠨ.

ᠵᡠᠯᡝ 1

Reference ᠵᠠᠯᠠᠨ ᡳ ᠵᠠᡥᠠᠨ ᡳ ᡝᠨᡩᡝ.

ᠵᡠᠯᡝ 0.5

ᠵᠠᠯᠠᠨ ᠵᠠᠯᠠᠨ ᡩᡝ ᠵᠠᠯᠠᠨ ᡩᠠᠩᡤᠠᠨ.

ᠵᡠᠯᡝ 1.15

ᠵᠠᠯᠠᠨ ᠵᠠᠯᠠᠨ ᡩᡝ ᡥᠠᠯᠠᠨ ᡩᠠᠩᡤᠠᠨ.

ᠵᡠᠯᡝ 3

NAG ᠵᠠᠯᠠᠨ ᡳ ᠵᠠᡥᠠᠨ ᡩᠠᠯᠵᡳᠮᡝ; ᡤᠠᠯᡤᠠᠨ ᠵᠠᠯᠠᠨ ᡩ᠝ ᠮᠠᠨᠵᡳᠨ ᡩᠠᠯᠵᡳᠮᡝ.

ᠵᡠᠯᡝ 2.5

ᡥᡡᠯᠠᠨ ᡳ ᠵᠠᠰᡥᠠᠨ ᡩᡝ NAG tau; ᠵᡠᠯᡝ ᠵᠠᠯᠠᠨ ᠪᠠᠶᠠᠨ. ᠵᠠᠯᠠᠨ ᡤᠠᠯᡤᠠᠨ ᠣᠮᠪᡳ ᠵᡠᠰᡨᠠᠨ ᠪᡝ ᠨᡝᠮᡝᠮᡝ᠂ ᡳᠯᡤᠠᠮᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᠠᠨᡳᠶᠠ ᠵᡠᠰᡠᠨ ᠣᠮᠪᡳ.

ᠵᡠᠯᡝ 0.25

NAG alpha ᡳ ᠵᠠᠯᠠᠨ ᡥᡡᠯᠠᠨ ᡳ ᠰᠠᠶᠠᠨ ᡩᠠ ᡤᠠᠯᡤᠠᠨ ᡥᡡᠯᠠᠨ ᡩᡝ ᠠᠰᡥᠠᠮᡝ ᠵᠠᠯᠠᠨ. ᠵᠠᠯᠠᠨ ᠨᡝᠮᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᠠᠰᡥᠠᠨ᠂ ᠵᠠᠯᠠᠨ ᡨᠠᠰᡥᠠᠨ ᡩᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠰᡥᠠᠨ.

ᠵᡠᠯᡝ 0.25

NAG ᠵᠠᡥᠠᠨ ᠪᡠᠶᡝᠮᡝ ᡳ ᡤᠠᠯᡤᠠᠨ ᡩᡝ ᠵᠠᠯᠠᠨ. FLUX ᡳ ᠵᠠᠯᠠᠨ ᡳ ᡴᡠᠰᡠᠨ ᠮᡠᠶᠠᠨ NAG ᡳ ᡳᠯᡤᠠᠮᡝ ᡩᠠ ᠠᠰᡥᠠᠨ.

ᠵᡠᠯᡝ 0.85

ᡳᠯᡤᠠᠮᡝ 0.0 ᡩᡝ ᡳᠯᡝᠨ ᡳ ᠠᠰᡥᠠᠨ᠂ 1.0 ᡩᡝ ᡴᠠᡵᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡳ ᡴᡠᠰᡠᠨ.

ᡳᠨᠠᠩᡤᠠ ᡤᠠᠳᠠᠨ ᡳ ᡶᡳᠶᠠᠩᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡳ ᡝᠮᡠ ᡝᠨᡝᠩᡤᡳ ᡥᡡᠯᠠᠨ ᡳ ᠰᡝᠮᡝ ᡳᠨᡠ ᡝᠮᡠ ᡤᠠᠳᠠᠨ ᠪᡠᠶᡝᠮᡝ, ᠮᠣᠳᡝᠯᡳ ᡥᡡᠯᠠᠨ ᡳ ᡝᠮᡠ ᠵᠠᠩ ᠪᠠᠶᠠᠨ ᠪᡠᠮᡝ.

ᠵᡠᠯᡝ []

ᠪᡠᠶᡝᠮᡝ ᠠᠩᡤᠠᠨ ᡳ ᠪᡝᠶᡝᠨ ᠵᠠᠰᠠᡥᠠ LoRA; ᠵᡠᠯᡝ ᠣᠮᡳᠰᡳᠨ.

ᠵᡠᠯᡝ []

ᠵᠠᠯᠠᠨ ᠠᠩᡤᠠᠨ ᡳ LoRA ᠪᡝ ᠵᠠᠯᠠᠨ ᠠᠴᠠᠨ ᠪᡠᠶᡝᠮᡝ ᠵᡠᠯᡝ ᠪᡝ ᠣᠮᡳᠰᡳᠨ.

ᠵᡠᠯᡝ []

ᠠᠩᡤᠠᠨ ᠪᡠᠶᡝᠮᡝ ᡳ ControlNet ᠵᠠᠰᠠᡴᠠᠨ᠈ ᠵᡠᠯᡝ ᠵᡠᠸᡝᠨᡳ ᠵᡠᠯᡝ.

ᠵᡠᠯᡝ []

ᠪᠠᡵᡠᠨ ᡳ ᠮᡠᠩᡤᠠᠨ ᡩᡝ ControlNet ᡳ ᠵᠠᠯᠠᠨ ᠵᠠᡥᠠᠨ ᡳ ᠵᠠᡥᠠᠨᠠᠮᡝ᠂ ᡳᠯᡤᠠᠮᡝ ᡝᠮᡠ ControlNet ᡳ ᡨᠠᠰᡥᠠᠨ ᠪᠠᡵᡠᠨ.

ᠵᡠᠯᡝ []

ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᠠᠯᠠᠨ IP-Adapter.

ᠵᡠᠯᡝ []

ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᠠᠯᠠᠨ EasyControl ᡳ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ.

ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᡳ ᡤᠠᠳᠠᠨ᠂ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᡩᠠᠯᠵᡳᠮᡝ ᠮᡠᠩᡤᠠᠨ ᡳ ᠵᠠᡥᠠᠨ ᡩᡝ ᠠᠰᡥᠠᠨ.

POST /run/flux-general/differential-diffusion?wait=20 ᠵᠠᠯᡳᠨ → $0.138
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/v1/run/flux-general/differential-diffusion?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "change_map_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

ᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᡝ

ᡳᠨᡝ ᠵᠠᠯᠠᠨ ᡝᡵᡝ ᠪᡠᡵᡝᠪᡝᡵᡳ ᡩᡝ ᠪᡳᠮᡝ᠈ Doitong API ᡩᡝ ᠵᡝᠯᡤᡳ ᡩᠠᡵᠠᠮᡝ᠈ Remember ᠵᡠᠯᡝᠮᡝ ᡤᡳᠯᠠᠮᡝ localStorage ᡩᡝ ᠰᡠᠯᡝᠮᡝ ᠪᡳᠮᡝ API ᠵᠠᠯᠠᠨ ᠠᠪᠠᠮᡝ

FLUX.1 [dev] with Controlnets and Loras · Differential Diffusion ᡠᡵᡝᠮᡝ

ᡳᠯᡤᠠᠨ ᡳ ᡳᠯᡤᠠᠨ ᡩᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠰᠠᠮᠪᡳ᠂ ᠵᠠᠰᠠᠯᡤᠠᠨ ᡳ ᠵᠠᠯᠪᠠᡵᡳ ᠪᡝ ᠵᠠᠯᠠᠮᠪᡳ᠃ ᠣᠴᡳ `prompt`᠂ `image_url` ᠠᠯᡳ `change_map_image_url`᠃ LoRAs᠂ ControlNets᠂ IP-Adapters ᠠᠯᡳ ᠵᠠᠯᠠᠨ ᠪᡳ᠃ `num_inference_steps` 1 ᡩᡝᡵᡝ 50᠂ `num_images` 10 ᡩᡝᡵᡝ᠂ png ᠠᠯᡳ jpeg.

ᠵᠠᡴᡠᠨ

ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ ᠵᡝᠯᡤᡳ ᠠᠪᠠᠮᠪᡳ᠈ ᠨᡝᠮᡝ ᠮᡠᠰᡝ ᡠᠯᠠᠮᠪᡳ ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ

ᠵᡝᡵᡤᡳᡠᠯᠠᠮᡝ ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝᠠᠪᠠᠮᡝ ᠵᠠᠪᡠᠨ ᠵᠠᠯᠠᠨᡳ ᡤᡳᠰᡠᠨ
promptᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝstring
ᡤᠠᠳᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᡥᡡᠯᠠᠨ᠉
image_sizeᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝobject
square_hdsquareportrait_4_3portrait_16_9landscape_4_3landscape_16_9
ᠪᡠᠶᡝᠮᡝ ᡤᠠᠳᠠᠨ ᡳ ᡤᡳᡵᠠᠨ.
num_inference_stepsᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝinteger
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ28
1 – 50
ᠶᠠᠪᡠᠯᠠᡵᠠ ᡠᠯᡥᡳᠰᡠ ᠪᠣᡩᠣᡵᠣ ᠠᠯᡥᠠ ᡳ ᡨᠣᠨ.
seedᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝinteger | null
ᡳᠨᠠᠩᡤᠠ ᡤᠠᠳᠠᠨ ᡳ ᡶᡳᠶᠠᠩᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡳ ᡝᠮᡠ ᡝᠨᡝᠩᡤᡳ ᡥᡡᠯᠠᠨ ᡳ ᠰᡝᠮᡝ ᡳᠨᡠ ᡝᠮᡠ ᡤᠠᠳᠠᠨ ᠪᡠᠶᡝᠮᡝ, ᠮᠣᠳᡝᠯᡳ ᡥᡡᠯᠠᠨ ᡳ ᡝᠮᡠ ᠵᠠᠩ ᠪᠠᠶᠠᠨ ᠪᡠᠮᡝ.
lorasᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝobject[]
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ[]
ᠪᡠᠶᡝᠮᡝ ᠠᠩᡤᠠᠨ ᡳ ᠪᡝᠶᡝᠨ ᠵᠠᠰᠠᡥᠠ LoRA; ᠵᡠᠯᡝ ᠣᠮᡳᠰᡳᠨ.
loras[].pathᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝstring
LoRA ᡳ ᡥᡡᠨᡩᡠᠨ ᡳ ᠪᠠ ᠪᡝ URL ᡝᠪᡨᡝᠯᡳ ᠵᡠᡤᡡᠨ ᠣᠪᡠᠮᡝ ᡨᠣᡴᡨᠣᠪᡠᡵᡝ᠈
loras[].scaleᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝobject | number
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ1
ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝ LoRA ᡳ ᠵᠠᠯᠠᠨ ᡳ ᠰᠣᠯᡳᠮᠪᡳ ᠡᠮᡠᠨᡳ ᠮᠣᠳᡝᠯ. {"layer_name":layer_scale} ᡳ ᠵᡠᠯᡝ ᠪᡝ ᠪᡳᠶᠠᡵᠠ; ᠣᠮᡳᠰᡳᠨ ᠪᡝ 1.0.
control_lorasᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝobject[]
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ[]
ᠵᠠᠯᠠᠨ ᠠᠩᡤᠠᠨ ᡳ LoRA ᠪᡝ ᠵᠠᠯᠠᠨ ᠠᠴᠠᠨ ᠪᡠᠶᡝᠮᡝ ᠵᡠᠯᡝ ᠪᡝ ᠣᠮᡳᠰᡳᠨ.
control_loras[].pathᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝstring
LoRA ᡳ ᡥᡡᠨᡩᡠᠨ ᡳ ᠪᠠ ᠪᡝ URL ᡝᠪᡨᡝᠯᡳ ᠵᡠᡤᡡᠨ ᠣᠪᡠᠮᡝ ᡨᠣᡴᡨᠣᠪᡠᡵᡝ᠈
control_loras[].scaleᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝobject | number
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ1
ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝ LoRA ᡳ ᠵᠠᠯᠠᠨ ᡳ ᠰᠣᠯᡳᠮᠪᡳ ᠡᠮᡠᠨᡳ ᠮᠣᠳᡝᠯ. {"layer_name":layer_scale} ᡳ ᠵᡠᠯᡝ ᠪᡝ ᠪᡳᠶᠠᡵᠠ; ᠣᠮᡳᠰᡳᠨ ᠪᡝ 1.0.
control_loras[].control_image_urlᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝurl · image
ᠵᠠᠯᠠᠨ ᠠᠩᡤᠠᠨ ᡳ URL.
control_loras[].preprocessᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝenum
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝNone
cannydepthNone
ᠠᠩᡤᠠᠨ ᠪᡝ ᠵᠠᠰᠠᡴᠠᠨ ᡳ ᠵᠠᠮᡳ.
controlnetsᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝobject[]
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ[]
ᠠᠩᡤᠠᠨ ᠪᡠᠶᡝᠮᡝ ᡳ ControlNet ᠵᠠᠰᠠᡴᠠᠨ᠈ ᠵᡠᠯᡝ ᠵᡠᠸᡝᠨᡳ ᠵᡠᠯᡝ.
controlnets[].pathᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝstring
ControlNet ᡳ ᠪᡝᠶᡝᠨ ᠵᡠᠯᡝ URL ᠠᡴᠠ ᠵᠠᠮᡳ.
controlnets[].config_urlᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝstring | null
ControlNet ᡳ config.json ᡳ ᠵᡠᠯᡝ URL.
controlnets[].variantᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝstring | null
Hugging Face ᠵᠠᠮᡳᠨᡤᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝ ᠵᠠᠰᠠᡴᠠᠨ.
controlnets[].control_image_urlᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝurl · image
ᠵᠠᠯᠠᠨ ᠠᠩᡤᠠᠨ ᡳ URL.
controlnets[].mask_image_urlᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝurl · image
ᡤᠠᠳᠠᠨ ᡩᡝ ᡨᠣᠯᡤᠣᠨ ᠮᡠᠩᡤᠠᠨ ᡳ ᡤᠠᠳᠠᠨ ᡳ ᡶᡳᠯᡝ ᡳ ᡩᡠᠯᡝᡵᡤᡳ ᠵᠠᠯᠠᠨ.
controlnets[].mask_thresholdᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ0.5
0.01 – 0.99
ᠮᡠᠩᡤᠠᠨ ᡳ ᠵᠠᠯᠠᠨ.
controlnets[].conditioning_scaleᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ1
0 – 2
ControlNet ᡳ ᠵᡠᠰᡨᠠᠨ ᡳ ᡴᡠᠰᡠᠨ ᠰᡝ ᠵᡠᠯᡝ ᠮᠣᠳᡝᠯ ᡩᡝ ᠨᡝᠮᡝᡵᡝ ᠵᠠᠯᠠᠨ.
controlnets[].start_percentageᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ0
0 – 1
ᠪᡠᠶᡝᠮᡝ ᡳ ᡳᠯᡤᠠᠮᡝ ᠪᠠᡵᡠᠨ ᡳ ᡤᡠᡵᡠᠨ ᡩᡝ ControlNet ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᡶᠠᠯᠠᠨ ᠵᠠᡥᠠᠨ.
controlnets[].end_percentageᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ1
0 – 1
ᠪᡠᠶᡝᠮᡝ ᡳ ᡳᠯᡤᠠᠮᡝ ᠵᠠᠯᠠᠨ ᡳ ᡤᡠᡵᡠᠨ ᡩᡝ ControlNet ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᡶᠠᠯᠠᠨ ᠣᠮᠪᡳ.
controlnet_unionsᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝobject[]
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ[]
ᠪᠠᡵᡠᠨ ᡳ ᠮᡠᠩᡤᠠᠨ ᡩᡝ ControlNet ᡳ ᠵᠠᠯᠠᠨ ᠵᠠᡥᠠᠨ ᡳ ᠵᠠᡥᠠᠨᠠᠮᡝ᠂ ᡳᠯᡤᠠᠮᡝ ᡝᠮᡠ ControlNet ᡳ ᡨᠠᠰᡥᠠᠨ ᠪᠠᡵᡠᠨ.
controlnet_unions[].pathᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝstring
ControlNet ᡳ ᠪᡝᠶᡝᠨ ᠵᡠᠯᡝ URL ᠠᡴᠠ ᠵᠠᠮᡳ.
controlnet_unions[].config_urlᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝstring | null
ControlNet ᡳ config.json ᡳ ᠵᡠᠯᡝ URL.
controlnet_unions[].variantᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝstring | null
Hugging Face ᠵᠠᠮᡳᠨᡤᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝ ᠵᠠᠰᠠᡴᠠᠨ.
controlnet_unions[].controlsᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝobject[]
ControlNet ᡩᡝ ᠪᡠᡥᡝ ᠮᡠᠩᡤᠠᠨ ᡩᠠ ᠵᠠᡥᠠᠨ ᡳ ᠠᡵᠠ.
controlnet_unions[].controls[].control_image_urlᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝurl · image
ᠵᠠᠯᠠᠨ ᠠᠩᡤᠠᠨ ᡳ URL.
controlnet_unions[].controls[].mask_image_urlᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝurl · image
ᡤᠠᠳᠠᠨ ᡩᡝ ᡨᠣᠯᡤᠣᠨ ᠮᡠᠩᡤᠠᠨ ᡳ ᡤᠠᠳᠠᠨ ᡳ ᡶᡳᠯᡝ ᡳ ᡩᡠᠯᡝᡵᡤᡳ ᠵᠠᠯᠠᠨ.
controlnet_unions[].controls[].control_modeᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝenum
cannytiledepthblurposegraylow-quality
Flux Controlnet Union ᡳ ᠵᠠᠯᠠᠨ ᠠᡵᠠ: `canny` ᠰᡠᠯᡝᠮᡝ ᡤᠠᠳᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᡤᠠᠨᠠᠮᡝ᠂ `tile` ᡨᡳᠯᡝ ᡳ ᠠᡵᠠ ᡳ ᡥᠠᠩᡤᠠᠮᡝ᠂ `depth` ᡥᠠᠩᡤᠠᠮᡝ ᡤᠠᠳᠠᠨ ᡳ ᡠᠯᡥᡠ ᠵᠠᠯᠠᠨ ᡩᡝ᠂ `blur` ᡤᠠᠳᠠᠨ ᡳ ᠮᡠᠯᡤᠠᠨ ᡩᡝ᠂ `pose` ᡤᠠᠳᠠᠨ ᡳ ᡝᠮᡤᡳ ᡩᡝ᠂ `gray` ᡤᠠᠳᠠᠨ ᡳ ᡤᠠᠰᡥᠠᠨ ᡩᡝ᠂ `low-quality` ᡧᠠᡥᡡᡵᡠᠨ ᡤᠠᠳᠠᠨ ᡳ ᡠᠵᡠᠮᡝ.
controlnet_unions[].controls[].conditioning_scaleᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ1
0 – 2
ControlNet ᡳ ᠵᡠᠰᡨᠠᠨ ᡳ ᡴᡠᠰᡠᠨ ᠰᡝ ᠵᡠᠯᡝ ᠮᠣᠳᡝᠯ ᡩᡝ ᠨᡝᠮᡝᡵᡝ ᠵᠠᠯᠠᠨ.
controlnet_unions[].controls[].mask_thresholdᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ0.5
0.01 – 0.99
ᠮᡠᠩᡤᠠᠨ ᡳ ᠵᠠᠯᠠᠨ.
controlnet_unions[].controls[].start_percentageᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ0
0 – 1
ᠪᡠᠶᡝᠮᡝ ᡳ ᡳᠯᡤᠠᠮᡝ ᠪᠠᡵᡠᠨ ᡳ ᡤᡠᡵᡠᠨ ᡩᡝ ControlNet ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᡶᠠᠯᠠᠨ ᠵᠠᡥᠠᠨ.
controlnet_unions[].controls[].end_percentageᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ1
0 – 1
ᠪᡠᠶᡝᠮᡝ ᡳ ᡳᠯᡤᠠᠮᡝ ᠵᠠᠯᠠᠨ ᡳ ᡤᡠᡵᡠᠨ ᡩᡝ ControlNet ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᡶᠠᠯᠠᠨ ᠣᠮᠪᡳ.
ip_adaptersᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝobject[]
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ[]
ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᠠᠯᠠᠨ IP-Adapter.
ip_adapters[].pathᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝstring
Hugging Face ᡩᡝ IP-Adapter ᡳ ᡝᠮᡤᡳ.
ip_adapters[].subfolderᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝstring | null
ip_adapter ᡳ ᠵᡠᠰᡨᠠᠨ ᠮᡠᠶᠠᠨ.
ip_adapters[].weight_nameᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝstring | null
IP-Adapter ᡳ ᠵᡠᠰᡨᠠᠨ ᡳ Safetensors ᡶᡳᠯᡝ ᡳ ᠵᡠᠰᡨᠠᠨ.
ip_adapters[].image_encoder_pathᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝstring
IP-Adapter ᡳ ᡤᠠᠳᠠᠨ ᡳ ᡶᡳᠯᡤᠠᠨ ᡳ ᡝᠮᡤᡳ᠂ ᡝᠮᡤᡳ `openai/clip-vit-large-patch14`.
ip_adapters[].image_encoder_subfolderᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝstring | null
ᡤᠠᠳᠠᠨ ᡳ ᡶᡳᠯᡤᠠᠨ ᡳ ᠵᡠᠰᡨᠠᠨ ᠮᡠᠶᠠᠨ.
ip_adapters[].image_encoder_weight_nameᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝstring | null
ᡤᠠᠳᠠᠨ ᡳ ᡶᡳᠯᡤᠠᠨ ᡳ ᠵᡠᠰᡠ.
ip_adapters[].image_urlᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝurl · image
IP-Adapter ᡩᡝ ᠪᡠᡥᡝ ᡤᠠᠳᠠᠨ ᡳ URL.
ip_adapters[].mask_image_urlᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝurl · image
ᡤᠠᠳᠠᠨ ᡩᡝ ᡨᠣᠯᡤᠣᠨ ᠮᡠᠩᡤᠠᠨ ᡳ ᡤᠠᠳᠠᠨ ᡳ ᡶᡳᠯᡝ ᡳ ᡩᡠᠯᡝᡵᡤᡳ ᠵᠠᠯᠠᠨ.
ip_adapters[].mask_thresholdᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ0.5
0.01 – 0.99
ᠮᡠᠩᡤᠠᠨ ᡳ ᠵᠠᠯᠠᠨ.
ip_adapters[].scaleᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝnumber
IP-Adapter ᡳ ᠵᠠᠯᠠᠨ ᡳ ᠮᡠᠩᡤᠠᠨ.
easycontrolsᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝobject[]
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ[]
ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᠠᠯᠠᠨ EasyControl ᡳ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ.
easycontrols[].control_method_urlᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝstring
ᠵᠠᠯᠠᠨ ᠠᡵᠠ ᡳ safetensor ᠵᡠᠰᡨᠠᠨ ᡳ URL ᡝᠮᡝ ᡩᠠ ᠵᠠᠯᠠᠨ: `canny`, `depth`, `hedsketch`, `inpainting`, `pose`, `seg`, `subject`, `ghibli`.
easycontrols[].scaleᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ1
0 – 2
ᠵᠠᠯᠠᠨ ᠠᡵᠠ ᡳ ᠮᡠᠩᡤᠠᠨ.
easycontrols[].image_urlᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝurl · image
ᠵᠠᠯᠠᠨ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᡳ ᡤᠠᠳᠠᠨ ᡳ URL.
easycontrols[].image_control_typeᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝenum
subjectspatial
ᡤᠠᠳᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠠᡵᠠ; `spatial` ᠠᠶᠠᠨ `subject` ᠠᠶᠠᠨ ᠵᡠᠰᡠᠨ.
fill_imageᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝobject
ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᡳ ᡤᠠᠳᠠᠨ᠂ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᡩᠠᠯᠵᡳᠮᡝ ᠮᡠᠩᡤᠠᠨ ᡳ ᠵᠠᡥᠠᠨ ᡩᡝ ᠠᠰᡥᠠᠨ.
fill_image.fill_image_urlᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝurl · image
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ[]
redux ᡥᡡᠯᠠᠨ ᡳ ᠠᡵᠠ ᡩᡝ ᠵᠠᠯᠠᠨ ᠵᠠᠯᠠᠨ ᡳ URL.
guidance_scaleᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ3.5
0 – 20
ᡥᡡᠯᠠᠨ ᡩᡝ ᠵᠠᡴᡠᠨ ᠵᡠᠯᡝᠮᡝ ᠤᠯᠠᡥᠠᠨ, CFG (Classifier Free Guidance) ᡩᡝ ᠵᡠᠯᡝᠮᡝ.
real_cfg_scaleᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ3.5
0 – 5
ᡥᡡᠯᠠᠨ ᡩᡝ ᠵᠠᡴᡠᠨ ᠵᡠᠯᡝᠮᡝ ᠤᠯᠠᡥᠠᠨ, CFG (Classifier Free Guidance) ᡩᡝ ᠵᡠᠯᡝᠮᡝ.
use_real_cfgᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝboolean
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝfalse
ᡩᠠᠯᠵᡳᠮᡝ CFG; XLabs IP-Adapter v1 ᡩᡝ ᠵᡠᠯᡝ ᠵᠠᡥᠠᠨ. ᠵᠠᠯᠠᠨ ᡳ ᠠᡵᠠ SD1.5 ᠠᠮᠠᠯᡤᠠ SDXL ᡳ ᠮᠣᠳᡝᠯ ᡩᡝ ᠠᠰᡥᠠᠨ.
use_cfg_zeroᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝboolean
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝfalse
CFG-zero ᡳ ᡳᠯᡤᠠᠮᡝ ᠵᠠᡥᠠᠨ ᡳ ᠪᠠᡵᡠᠨ ᠪᡠᠶᡝᠮᡝ, ᡳᠨᡠ https://arxiv.org/abs/2503.18886.
num_imagesᠵᡠᠯᡝ num_outputs
ᡠᠯᠠᠮᡝinteger
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ1
1 – 10
ᠮᡠᠩᡤᠠᠨ ᡳ ᡤᠠᠯᡥᠠᠨ ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᡠᠰᡠ; ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᡤᠠᠯᡥᠠ 1.
enable_safety_checkerᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝboolean
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝtrue
ᠠᠮᡤᠠᠨᡳ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ; ᠠᠮᡤᠠᠨ ᠪᡝ ᡠᠵᡠᠯᠠᠮᡝ ᡤᠠᠳᠠᠨ ᠪᡝ ᡴᠠᡵᠠ ᠪᡠᠶᡝᠮᡝᠮᠪᡳ᠉ true ᠪᡝ ᡠᠵᡠᠯᠠᠮᡝᠨᡳ ᡩᠠᠯᡳᠨ; false ᠪᡝ ᡩᠠᠯᡳᠨ ᠠᡴᡠᠯᠠᠮᠪᡳ᠂ ᠵᡠᠯᡝ ᠵᡠᠯᡝᠨᡳ ᠪᡝ ᠠᡴᡠᠯᠠᠮᠪᡳ᠉
reference_image_urlᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝurl · image
Reference-Only ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᠠᠰᡥᠠᠮᡝ ᠮᡠᠩᡤᠠᠨ ᡳ URL.
reference_strengthᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ0.65
-3 – 3
reference_only ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᠠᠯᠠᠨ ᡤᠠᠯᡤᠠᠨ; ᡝᡵᡝᠮᡝ ᠪᡠᡥᡝ ᠵᠠᠯᠠᠨ ᠠᠮᠠᠰᡳ ᠵᠠᠯᠠᠨ ᠪᡠᠶᡝᠮᡝᠮᡝ ᠮᠠᠨᠵᡳᠮᡝ ᠠᠮᠠᠰᡳ ᠪᡳ.
reference_startᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ0
0 – 1
Reference ᠵᠠᠯᠠᠨ ᡳ ᡳᠯᡤᠠᠮᡝ ᠵᠠᡥᠠᠨ.
reference_endᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ1
0 – 1
Reference ᠵᠠᠯᠠᠨ ᡳ ᠵᠠᡥᠠᠨ ᡳ ᡝᠨᡩᡝ.
base_shiftᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ0.5
0.01 – 5
ᠵᠠᠯᠠᠨ ᠵᠠᠯᠠᠨ ᡩᡝ ᠵᠠᠯᠠᠨ ᡩᠠᠩᡤᠠᠨ.
max_shiftᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ1.15
0.01 – 5
ᠵᠠᠯᠠᠨ ᠵᠠᠯᠠᠨ ᡩᡝ ᡥᠠᠯᠠᠨ ᡩᠠᠩᡤᠠᠨ.
output_formatᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝenum
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝpng
jpegpng
ᠪᡠᠶᡝᠮᡝ ᠵᡠᠴᡝᠨ ᡳ ᡶᡳᠯᡝ ᡳ ᠵᡠᠰᡝ᠉
use_beta_scheduleᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝboolean
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝfalse
beta sigmas ᡳ ᠠᠰᡥᠠᠮᡝ ᠠᠮᠠᠯᡤᠠ ᠪᡠᠮᡝ.
sigma_scheduleᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝstring | null
ᠵᠠᠯᠠᠨ ᡳ sigma ᠵᠠᠯᠠᠨ.
schedulerᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝenum
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝeuler
eulerdpmpp_2m
ᠵᠠᠯᠠᠨ ᡳ ᠰᠠᠶᠠᠨ ᠵᠠᠯᠠᠨ.
negative_promptᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝstring
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ
NAG ᡳ ᠠᡵᠠ ᡩᡝ ᠵᡠᠯᡝ ᠵᠠᠯᠠᠨ ᡥᡡᠯᠠᠨ᠂ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠠᠰᡥᠠᠨ ᡩᠠᠯᠵᡳᠮᡝ.
nag_scaleᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ3
≤ 10> 1
NAG ᠵᠠᠯᠠᠨ ᡳ ᠵᠠᡥᠠᠨ ᡩᠠᠯᠵᡳᠮᡝ; ᡤᠠᠯᡤᠠᠨ ᠵᠠᠯᠠᠨ ᡩ᠝ ᠮᠠᠨᠵᡳᠨ ᡩᠠᠯᠵᡳᠮᡝ.
nag_tauᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ2.5
> 0
ᡥᡡᠯᠠᠨ ᡳ ᠵᠠᠰᡥᠠᠨ ᡩᡝ NAG tau; ᠵᡠᠯᡝ ᠵᠠᠯᠠᠨ ᠪᠠᠶᠠᠨ. ᠵᠠᠯᠠᠨ ᡤᠠᠯᡤᠠᠨ ᠣᠮᠪᡳ ᠵᡠᠰᡨᠠᠨ ᠪᡝ ᠨᡝᠮᡝᠮᡝ᠂ ᡳᠯᡤᠠᠮᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᠠᠨᡳᠶᠠ ᠵᡠᠰᡠᠨ ᠣᠮᠪᡳ.
nag_alphaᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ0.25
≤ 1> 0
NAG alpha ᡳ ᠵᠠᠯᠠᠨ ᡥᡡᠯᠠᠨ ᡳ ᠰᠠᠶᠠᠨ ᡩᠠ ᡤᠠᠯᡤᠠᠨ ᡥᡡᠯᠠᠨ ᡩᡝ ᠠᠰᡥᠠᠮᡝ ᠵᠠᠯᠠᠨ. ᠵᠠᠯᠠᠨ ᠨᡝᠮᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᠠᠰᡥᠠᠨ᠂ ᠵᠠᠯᠠᠨ ᡨᠠᠰᡥᠠᠨ ᡩᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠰᡥᠠᠨ.
nag_endᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ0.25
≤ 1> 0
NAG ᠵᠠᡥᠠᠨ ᠪᡠᠶᡝᠮᡝ ᡳ ᡤᠠᠯᡤᠠᠨ ᡩᡝ ᠵᠠᠯᠠᠨ. FLUX ᡳ ᠵᠠᠯᠠᠨ ᡳ ᡴᡠᠰᡠᠨ ᠮᡠᠶᠠᠨ NAG ᡳ ᡳᠯᡤᠠᠮᡝ ᡩᠠ ᠠᠰᡥᠠᠨ.
image_urlᡴᠠᠷᠠᡴᡡ image
ᡠᠯᠠᠮᡝurl · image
ᡳᠯᡤᠠᠮᡝ ᠮᡠᠩᡤᠠᠨ ᡳ ᡤᠠᠳᠠᠨ ᡳ URL.
change_map_image_urlᡴᠠᠷᠠᡴᡡ
ᡠᠯᠠᠮᡝurl · image
ᡤᠠᠯᡤᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᡩᠠᠯᡵᡳᠮᡝ ᡳᠯᡝᠨ ᡳ URL.
strengthᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ0.85
0.01 – 1
ᡳᠯᡤᠠᠮᡝ 0.0 ᡩᡝ ᡳᠯᡝᠨ ᡳ ᠠᠰᡥᠠᠨ᠂ 1.0 ᡩᡝ ᡴᠠᡵᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡳ ᡴᡠᠰᡠᠨ.
ᡴᠠᠷᠠᡴᡡ ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ᠈ ᠮᡠᠰᡝ ᡝᠮᡠ ᠠᠪᠠᠮᠪᡳ

ᠪᡠᠮᠪᡳᠯᡝᠰᡝ ᡝᠮᡠ ᡤᡝᠮᡠᠨᡳ https:// URL᠈ 10 MB ᡩᡝ ᡩᡝᠷᡤᡳ data: URI ᠵᡝᡵᡤᡳ ᡝᠮᡝ᠈ ᡳᠨᡝ ᠪᡠᠮᠪᡳᠯᡝᠰᡝᠨᡳ file_url ᠠᠪᠠᠮᠪᡳ ᠪᡠᠮᠪᡳ

ᠪᡠᠶᡝᠮᡝ

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "flux-general/differential-diffusion",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 138,
    "usd": "0.138",
    "charged": 138,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "change_map_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "images": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "width": 1024,
        "height": 768,
        "content_type": "image/jpeg"
      }
    ],
    "timings": {},
    "seed": 42,
    "has_nsfw_concepts": [
      false
    ],
    "prompt": "string"
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
ᡤᡝᠯᡝᠮᡝ ᡥᡡᠯᡤᡠᠨᡳ ᡳᠨᡠᡝᠯᡝᡥᡝ outputs[].url ᠰᡠᠯᡠᠨ ᡩᡝ ᠰᡳᡵᡝ ᡶᡳᠯᡝ᠈ ᠝ᠮᡤᡳ ᠮᡠᠰᡝ ᠠᠪᠠᠯᡳ ᠵᡝᠮᡤᡳᠨ GB-ᠪᡳᠶᠠ ᠵᡝᠮᡤᡳᠨ ᠪᡝ ᡝᠮᡠᠯᡝᠮᡝ ᠠᠪᠠᠯᡳ 7 ᡥᠠᠨ ᠰᡳᠯᡤᠠᠨ ᡩᡝ᠈ ᠰᡳᠨᡳ ᠪᠠᠯᠠᠨᠰᡳ ᠵᡠᠶᡝᡵᡝᠨ ᠠᠪᠠᠯᡳ ?storage= ᡩᡝ ᡝᠵᡝᠨ ᡥᠠᠯᠠᠮᡝ᠉
ᡝᠮᡠ ᡤᡳᠰᡠᠨ ᡝᠮᡠ ᠮᠣᡩᡝᠯ ᡩᡝtype, url, content_type, width, height ᠮᠠᠩᡤᡳ duration᠈ ᠵᠠᠯᠠᠨ᠈ ᠪᡠᠵᡠᠮᠪᡳ ᠮᠠᠩᡤᡳ ᠵᡝᡵᡤᡳ ᡩᡝᠨᡳ᠈ output ᠮᠣᡩᡝᠯᡳᠨᡳ ᡝᠮᡠ ᠵᠠᠯᠠᠨ
ᠪᡠᠶᡝᠮᡝᠨᡳ ᡤᡳᠰᡠᠨ
images
array of object {url, width, height, content_type}ᠪᡠᠶᡝᠮᡝ ᡤᠠᠳᠠᠨᡳ ᡶᡳᠯᡝ ᡩᠠᠮᡠ.
timings
object
seed
integerᠪᡠᠶᡝᠮᡝᠨᡳ ᠰᡝᠨᡩᡝᠨᡳ ᠵᠠᠯᡳᠨ; ᡳᠨᡠ ᠪᡳᠰᡳᡵᡝᠨ ᠪᡝ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠉
has_nsfw_concepts
array of booleanᠪᡠᠶᡝᠮᡝᠨᡳ ᠤᠯᡥᠠᠨ ᠤᠨᠠᠰᡳᠨ ᠩᡝᠮᡝ ᠪᡳ ᠰᡝᠮᡝ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠉
prompt
stringᠪᡠᠶᡝᠮᡝᠨᡳ ᡥᡡᠯᠠᠨ᠉

ᡝᠯᡤᡳ ᡩᠠᠯᡳᠨ: ᡤᠠᠳᠠᠨ ᠵᠠᠰᡳᠨ

AI ᠠᡤᡝᠨᡨᡳ ᡠᠴᡠᠷᡳ᠈ ᡝᡵᡝ ᡩᡝᠪᡝᡵᡳ Markdown ᠰᡳᠨᡩᠠᡵᡳ https://doitong.com/mnc/developers/models/flux-general/differential-diffusion.md. ᡝᡵᡝ ᠮᠣᡩᡝᠯ ᠵᠠᡴᡠᠨ ᠰᡠᠯᡠᠮᡝ https://doitong.com/developers/llms.txt