feat(image_gen): upgrade Recraft V3 → V4 Pro, Nano Banana → Pro (#11406)

* feat(image_gen): upgrade Recraft V3 → V4 Pro, Nano Banana → Pro

Upstream asked for these two upgrades ASAP — the old entries show
stale models when newer, higher-quality versions are available on FAL.

Recraft V3 → Recraft V4 Pro
  ID:    fal-ai/recraft-v3 → fal-ai/recraft/v4/pro/text-to-image
  Price: $0.04/image → $0.25/image (6x — V4 Pro is premium tier)
  Schema: V4 dropped the required `style` enum entirely; defaults
          handle taste now. Added `colors` and `background_color`
          to supports for brand-palette control. `seed` is not
          supported by V4 per the API docs.

Nano Banana → Nano Banana Pro
  ID:    fal-ai/nano-banana → fal-ai/nano-banana-pro
  Price: $0.08/image → $0.15/image (1K); $0.30 at 4K
  Schema: Aspect ratio family unchanged. Added `resolution`
          (1K/2K/4K, default 1K for billing predictability),
          `enable_web_search` (real-time info grounding, +$0.015),
          and `limit_generations` (force exactly 1 image).
  Architecture: Gemini 2.5 Flash → Gemini 3 Pro Image. Quality
                and reasoning depth improved; slower (~6s → ~8s).

Migration: users who had the old IDs in `image_gen.model` will
fall through the existing 'unknown model → default' warning path
in `_resolve_fal_model()` and get the Klein 9B default on the next
run. Re-run `hermes tools` → Image Generation to pick the new
version. No silent cost-upgrade aliasing — the 2-6x price jump
on these tiers warrants explicit user re-selection.

Portal note: both new model IDs need to be allowlisted on the
Nous fal-queue-gateway alongside the previous 7 additions, or
users on Nous Subscription will see the 'managed gateway rejected
model' error we added previously (which is clear and
self-remediating, just noisy).

* docs: wrap '<1s' in backticks to unblock MDX compilation

Docusaurus's MDX parser treats unquoted '<' as the start of JSX, and
'<1s' fails because '1' isn't a valid tag-name start character. This
was broken on main since PR #11265 (never noticed because
docs-site-checks was failing on OTHER issues at the time and we
admin-merged through it).

Wrapping in backticks also gives the cell monospace styling which
reads more cleanly alongside the inline-code model ID in the same row.

The other '<1s' occurrence (line 52) is inside a fenced code block
and is already safe — code fences bypass MDX parsing.
This commit is contained in:
Teknium 2026-04-16 22:05:41 -07:00 committed by GitHub
parent 70768665a4
commit 220fa7db90
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5 changed files with 40 additions and 30 deletions

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@ -107,16 +107,16 @@ class TestAspectRatioFamily:
"""Nano-banana uses aspect_ratio enum, NOT image_size."""
def test_nano_banana_landscape_uses_aspect_ratio(self, image_tool):
p = image_tool._build_fal_payload("fal-ai/nano-banana", "hello", "landscape")
p = image_tool._build_fal_payload("fal-ai/nano-banana-pro", "hello", "landscape")
assert p["aspect_ratio"] == "16:9"
assert "image_size" not in p
def test_nano_banana_square_uses_aspect_ratio(self, image_tool):
p = image_tool._build_fal_payload("fal-ai/nano-banana", "hello", "square")
p = image_tool._build_fal_payload("fal-ai/nano-banana-pro", "hello", "square")
assert p["aspect_ratio"] == "1:1"
def test_nano_banana_portrait_uses_aspect_ratio(self, image_tool):
p = image_tool._build_fal_payload("fal-ai/nano-banana", "hello", "portrait")
p = image_tool._build_fal_payload("fal-ai/nano-banana-pro", "hello", "portrait")
assert p["aspect_ratio"] == "9:16"
@ -164,13 +164,17 @@ class TestSupportsFilter:
assert "num_inference_steps" not in p
def test_recraft_has_minimal_payload(self, image_tool):
# Recraft supports prompt, image_size, style only.
p = image_tool._build_fal_payload("fal-ai/recraft-v3", "hi", "landscape")
assert set(p.keys()) <= {"prompt", "image_size", "style"}
# Recraft V4 Pro supports prompt, image_size, enable_safety_checker,
# colors, background_color (no seed, no style — V4 dropped V3's style enum).
p = image_tool._build_fal_payload("fal-ai/recraft/v4/pro/text-to-image", "hi", "landscape")
assert set(p.keys()) <= {
"prompt", "image_size", "enable_safety_checker",
"colors", "background_color",
}
def test_nano_banana_never_gets_image_size(self, image_tool):
# Common bug: translator accidentally setting both image_size and aspect_ratio.
p = image_tool._build_fal_payload("fal-ai/nano-banana", "hi", "landscape", seed=1)
p = image_tool._build_fal_payload("fal-ai/nano-banana-pro", "hi", "landscape", seed=1)
assert "image_size" not in p
assert p["aspect_ratio"] == "16:9"
@ -285,9 +289,9 @@ class TestModelResolution:
def test_config_wins_over_env_var(self, image_tool, monkeypatch):
monkeypatch.setenv("FAL_IMAGE_MODEL", "fal-ai/z-image/turbo")
with patch("hermes_cli.config.load_config",
return_value={"image_gen": {"model": "fal-ai/nano-banana"}}):
return_value={"image_gen": {"model": "fal-ai/nano-banana-pro"}}):
mid, _ = image_tool._resolve_fal_model()
assert mid == "fal-ai/nano-banana"
assert mid == "fal-ai/nano-banana-pro"
# ---------------------------------------------------------------------------
@ -387,10 +391,10 @@ class TestManagedGatewayErrorTranslation:
lambda gw: mock_managed_client)
with pytest.raises(ValueError) as exc_info:
image_tool._submit_fal_request("fal-ai/nano-banana", {"prompt": "x"})
image_tool._submit_fal_request("fal-ai/nano-banana-pro", {"prompt": "x"})
msg = str(exc_info.value)
assert "fal-ai/nano-banana" in msg
assert "fal-ai/nano-banana-pro" in msg
assert "403" in msg
assert "FAL_KEY" in msg
assert "hermes tools" in msg

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@ -134,11 +134,11 @@ FAL_MODELS: Dict[str, Dict[str, Any]] = {
},
"upscale": False,
},
"fal-ai/nano-banana": {
"display": "Nano Banana (Gemini 2.5 Flash Image)",
"speed": "~6s",
"strengths": "Gemini 2.5, consistency",
"price": "$0.08/image",
"fal-ai/nano-banana-pro": {
"display": "Nano Banana Pro (Gemini 3 Pro Image)",
"speed": "~8s",
"strengths": "Gemini 3 Pro, reasoning depth, text rendering",
"price": "$0.15/image (1K)",
"size_style": "aspect_ratio",
"sizes": {
"landscape": "16:9",
@ -149,10 +149,14 @@ FAL_MODELS: Dict[str, Dict[str, Any]] = {
"num_images": 1,
"output_format": "png",
"safety_tolerance": "5",
# "1K" is the cheapest tier; 4K doubles the per-image cost.
# Users on Nous Subscription should stay at 1K for predictable billing.
"resolution": "1K",
},
"supports": {
"prompt", "aspect_ratio", "num_images", "output_format",
"safety_tolerance", "seed", "sync_mode",
"safety_tolerance", "seed", "sync_mode", "resolution",
"enable_web_search", "limit_generations",
},
"upscale": False,
},
@ -202,11 +206,11 @@ FAL_MODELS: Dict[str, Dict[str, Any]] = {
},
"upscale": False,
},
"fal-ai/recraft-v3": {
"display": "Recraft V3",
"fal-ai/recraft/v4/pro/text-to-image": {
"display": "Recraft V4 Pro",
"speed": "~8s",
"strengths": "Vector, brand styles",
"price": "$0.04/image",
"strengths": "Design, brand systems, production-ready",
"price": "$0.25/image",
"size_style": "image_size_preset",
"sizes": {
"landscape": "landscape_16_9",
@ -214,10 +218,12 @@ FAL_MODELS: Dict[str, Dict[str, Any]] = {
"portrait": "portrait_16_9",
},
"defaults": {
"style": "realistic_image",
# V4 Pro dropped V3's required `style` enum — defaults handle taste now.
"enable_safety_checker": False,
},
"supports": {
"prompt", "image_size", "style",
"prompt", "image_size", "enable_safety_checker",
"colors", "background_color",
},
"upscale": False,
},

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@ -1,6 +1,6 @@
---
title: Image Generation
description: Generate images via FAL.ai — 8 models including FLUX 2, GPT-Image, Nano Banana, Ideogram, and more, selectable via `hermes tools`.
description: Generate images via FAL.ai — 8 models including FLUX 2, GPT-Image, Nano Banana Pro, Ideogram, Recraft V4 Pro, and more, selectable via `hermes tools`.
sidebar_label: Image Generation
sidebar_position: 6
---
@ -13,13 +13,13 @@ Hermes Agent generates images from text prompts via FAL.ai. Eight models are sup
| Model | Speed | Strengths | Price |
|---|---|---|---|
| `fal-ai/flux-2/klein/9b` *(default)* | <1s | Fast, crisp text | $0.006/MP |
| `fal-ai/flux-2/klein/9b` *(default)* | `<1s` | Fast, crisp text | $0.006/MP |
| `fal-ai/flux-2-pro` | ~6s | Studio photorealism | $0.03/MP |
| `fal-ai/z-image/turbo` | ~2s | Bilingual EN/CN, 6B params | $0.005/MP |
| `fal-ai/nano-banana` | ~6s | Gemini 2.5, character consistency | $0.08/image |
| `fal-ai/nano-banana-pro` | ~8s | Gemini 3 Pro, reasoning depth, text rendering | $0.15/image (1K) |
| `fal-ai/gpt-image-1.5` | ~15s | Prompt adherence | $0.034/image |
| `fal-ai/ideogram/v3` | ~5s | Best typography | $0.030.09/image |
| `fal-ai/recraft-v3` | ~8s | Vector art, brand styles | $0.04/image |
| `fal-ai/recraft/v4/pro/text-to-image` | ~8s | Design, brand systems, production-ready | $0.25/image |
| `fal-ai/qwen-image` | ~12s | LLM-based, complex text | $0.02/MP |
Prices are FAL's pricing at time of writing; check [fal.ai](https://fal.ai/) for current numbers.
@ -87,7 +87,7 @@ Make me a futuristic cityscape, landscape orientation
Every model accepts the same three aspect ratios from the agent's perspective. Internally, each model's native size spec is filled in automatically:
| Agent input | image_size (flux/z-image/qwen/recraft/ideogram) | aspect_ratio (nano-banana) | image_size (gpt-image) |
| Agent input | image_size (flux/z-image/qwen/recraft/ideogram) | aspect_ratio (nano-banana-pro) | image_size (gpt-image) |
|---|---|---|---|
| `landscape` | `landscape_16_9` | `16:9` | `1536x1024` |
| `square` | `square_hd` | `1:1` | `1024x1024` |

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@ -30,7 +30,7 @@ Hermes Agent includes a rich set of capabilities that extend far beyond basic ch
- **[Voice Mode](voice-mode.md)** — Full voice interaction across CLI and messaging platforms. Talk to the agent using your microphone, hear spoken replies, and have live voice conversations in Discord voice channels.
- **[Browser Automation](browser.md)** — Full browser automation with multiple backends: Browserbase cloud, Browser Use cloud, local Chrome via CDP, or local Chromium. Navigate websites, fill forms, and extract information.
- **[Vision & Image Paste](vision.md)** — Multimodal vision support. Paste images from your clipboard into the CLI and ask the agent to analyze, describe, or work with them using any vision-capable model.
- **[Image Generation](image-generation.md)** — Generate images from text prompts using FAL.ai. Eight models supported (FLUX 2 Klein/Pro, GPT-Image 1.5, Nano Banana, Ideogram V3, Recraft V3, Qwen, Z-Image Turbo); pick one via `hermes tools`.
- **[Image Generation](image-generation.md)** — Generate images from text prompts using FAL.ai. Eight models supported (FLUX 2 Klein/Pro, GPT-Image 1.5, Nano Banana Pro, Ideogram V3, Recraft V4 Pro, Qwen, Z-Image Turbo); pick one via `hermes tools`.
- **[Voice & TTS](tts.md)** — Text-to-speech output and voice message transcription across all messaging platforms, with five provider options: Edge TTS (free), ElevenLabs, OpenAI TTS, MiniMax, and NeuTTS.
## Integrations

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@ -18,7 +18,7 @@ The **Tool Gateway** lets paid [Nous Portal](https://portal.nousresearch.com) su
| Tool | What It Does | Direct Alternative |
|------|--------------|--------------------|
| **Web search & extract** | Search the web and extract page content via Firecrawl | `FIRECRAWL_API_KEY`, `EXA_API_KEY`, `PARALLEL_API_KEY`, `TAVILY_API_KEY` |
| **Image generation** | Generate images via FAL (8 models: FLUX 2 Klein/Pro, GPT-Image, Nano Banana, Ideogram, Recraft, Qwen, Z-Image) | `FAL_KEY` |
| **Image generation** | Generate images via FAL (8 models: FLUX 2 Klein/Pro, GPT-Image, Nano Banana Pro, Ideogram, Recraft V4 Pro, Qwen, Z-Image) | `FAL_KEY` |
| **Text-to-speech** | Convert text to speech via OpenAI TTS | `VOICE_TOOLS_OPENAI_KEY`, `ELEVENLABS_API_KEY` |
| **Browser automation** | Control cloud browsers via Browser Use | `BROWSER_USE_API_KEY`, `BROWSERBASE_API_KEY` |