Alur kerja ideogram4
Ideogram 4 text to image. ! Currently very unstable and censored ! Quality settings Instead of steps, you can control quality with /slot2: /slot2:turbo -> fast and rough /slot2:default -> default quality and speed /slot2:quality -> best quality, slowest render This workflow supports two ways to produce the JSON the model expects: (default) Model-assisted (LLM): Enter a short idea in as positive prompt and the system prompt asks LLM to write schema-compliant JSON. You won't see the generated JSON prompt, it is handled only internally. (/slot1:0) Raw input: You may use plain natural language, but structured JSON gives the most predictable layout and style control. Incompatible prompt WILL trigger "safety filter", even if prompt is SFW. About the model The model is trained on structured JSON captions (scene summary, style block, background, and optional per-object descriptions with bounding boxes and hex color palettes). Official inference validates prompts against that schema. Guidance uses flow-matching with asymmetric classifier-free guidance (the unconditional pass drops text tokens)—not a separate negative prompt string. Practical strengths: flexible resolution (about 256–2048 px per side), layout via normalized bounding boxes [y_min, x_min, y_max, x_max] on a 0–1000 grid, palette control with hex colors, and strong in-image text rendering when described in JSON. NOTE: If you see "Image blocked by safety filter" it is because of safety training in the model itself and there
Kompatibel / Tersedia di Aplikasi bertenaga Graydient
Opsi
| Opsi | Memetakan ke | Default |
|---|---|---|
(prompt) | Prompt text | — |
/run:ideogram4 | Workflow shortcode | ideogram4 |
Model yang digunakan
ideogram4 Model diimpor dengan shortcode /run:ideogram4 dari ModelTrends Lihat di ModelTrends Untuk Pengembang (opsional)
Contoh potongan API. Kamu bisa membuat aplikasi sendiri dengan alur kerja ini untuk penggunaan pribadi. Tingkatkan ke Paket Business saat kamu siap deploy. Lihat dokumentasi API rendering lengkap.
curl https://cloud.graydient.ai/api/v3/render/ \
-X POST \
-H "Content-Type: application/vnd.api+json" \
-H "Accept: application/vnd.api+json" \
-H "Authorization: Bearer $GRAYDIENT_TOKEN" \
-d '{
"prompt": "/workflow /run:ideogram4 ",
"callback_url": "https://example.com/webhook/render"
}'Begini cara kerjanya di balik layar. Ini sudah dikonfigurasi untukmu. Parameter di tabel di atas terhubung ke slot ini, memungkinkan kamu mengubah cara kerjanya dan model mana yang dimuat. Kamu tidak perlu memahami atau mengubah ini - ini sudah berfungsi, sudah diatur.
Halaman alur kerja ini menampilkan shortcode, opsi, dan unduhan ModelTrends. Graf node lengkap tersedia dengan unduhan alur kerja di ModelTrends. Graf node untuk alur kerja ini belum digambar di halaman ini. Buka di ModelTrends untuk mengunduh file alur kerja dan model yang dimuat.
Semua workflow: Alur Kerja Kuat