FLUX.1 Free Image Generation API Complete Guide: schnell/dev Dual Models + 4 Free Channels for 1024px at $0
TL;DR: FLUX.1 by Black Forest Labs is a 12B flagship text-to-image model — schnell (4-step ultra-fast) and dev (28-step high-quality) — natively 1024px, best-in-class text rendering and aesthetics vs SDXL. Get it at $0 via Together AI + Fal + Pollinations + Hugging Face — 4 channels tested with runnable code.
Why FLUX.1?
- 12B flagship, text actually correct: poster text, logos, UI mockups in one shot — far fewer garbled characters than SDXL
- Dual models: schnell 4-step (~1s/img for batch) / dev 28-step (cover quality), same prompt seamless switch
- Native 1024px: 1024×1024 / 1024×576 / 576×1024 without Hires Fix, VRAM friendly
- Aesthetics + prompt adherence: long-time Top 2 on ELO human preference, better adherence than SD3 Medium
- Truly free in 4 ways: Together $5 credit ~1600 schnell images, Pollinations image no-key unlimited, Fal/Replicate free tiers
Model Lineup
| Model | Steps | Resolution | Speed | Highlight | Free Channel |
|---|---|---|---|---|---|
| FLUX.1 [schnell] | 4 | 1024px | ~1s | ultra-fast, batch, $0.003/img | Together / Fal / Pollinations / HF |
| FLUX.1 [dev] | 28 | 1024px | ~5s | high-quality, details, stable text | Together / Fal / Replicate / HF |
| FLUX.1 [pro] | 28+ | 1024px | ~6s | commercial flagship (non-open) | Fal / Replicate |
| SDXL 1.0 | 30 | 1024px | ~4s | largest ecosystem, many LoRAs | Together / HF |
| SD 3.5 Large | 28 | 1024px | ~5s | 8B text-to-image | Fal / Replicate |
Pick: batch/cheap → schnell; poster/cover text → dev; LoRA ecosystem → SDXL.
Free Channel Comparison (tested 2026-09-02)
| Channel | Model ID | Price | Free Quota | Rate Limit | Best For |
|---|---|---|---|---|---|
| Together AI | black-forest-labs/FLUX.1-schnell |
$0.003/img | $5 new-user credit ≈ 1666 schnell | 60 RPM | most stable, batch |
| Together AI | black-forest-labs/FLUX.1-dev |
$0.025/img | $5 credit ≈ 200 dev | 60 RPM | high-quality cover |
| Fal AI | fal-ai/flux/schnell |
$0.003/img | $1 credit + daily free | 30 RPM | ultra-fast |
| Replicate | black-forest-labs/flux-schnell |
$0.003/img | $5 new-user credit | 20 RPM | community models |
| Pollinations | flux (image.pollinations.ai) |
$0 no-key | unlimited (anonymous) | 10 RPM | zero-barrier trial |
| Hugging Face | black-forest-labs/FLUX.1-schnell |
$0 | free Inference | 10 RPM | research/test |
Sources: Together pricing https://www.together.ai/pricing ; Fal https://fal.ai/models ; Pollinations tested
GET https://image.pollinations.ai/prompt/xxx200 JPEG.
Capability Radar (5 dims, max 5)
Get Started in 5 Minutes: 4 Channels
Option 1: Together AI (most stable)
curl https://api.together.xyz/v1/images/generations \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOGETHER_API_KEY" \
-d '{
"model": "black-forest-labs/FLUX.1-schnell",
"prompt": "a minimal poster, bold text \"APISHare\" centered, gradient background, 4k",
"width": 1024,
"height": 1024,
"steps": 4,
"n": 1
}'
Option 2: Pollinations (truly no-key)
# Open in browser — instant image, no key at all
curl -o flux.png "https://image.pollinations.ai/prompt/a%20cinematic%20cat%20astronaut%20oil%20painting?width=1024&height=1024&model=flux&enhance=true&nologo=true"
# With seed for reproducibility
curl -o flux2.png "https://image.pollinations.ai/prompt/minimal%20poster%20APISHare%20text?width=1024&height=1024&model=flux&seed=42"
Option 3: Fal AI (Node/Python SDK)
import fal_client
result = fal_client.subscribe(
"fal-ai/flux/schnell",
arguments={
"prompt": "product photo of a white sneaker floating, studio lighting, 4k",
"image_size": "square_hd",
"num_inference_steps": 4,
"num_images": 1
}
)
print(result["images"][0]["url"])
Option 4: Python Generic (Together + Pillow)
import requests, base64
from PIL import Image
from io import BytesIO
resp = requests.post("https://api.together.xyz/v1/images/generations",
headers={"Authorization": "Bearer sk-together-xxx", "Content-Type": "application/json"},
json={"model": "black-forest-labs/FLUX.1-schnell", "prompt": "isometric 3d icon of a cloud server, pastel colors, white background", "width": 1024, "height": 1024, "steps": 4}).json()
if "data" in resp and "b64_json" in resp["data"][0]:
Image.open(BytesIO(base64.b64decode(resp["data"][0]["b64_json"]))).save("flux-schnell.png")
else:
print(resp)
Prompt Tips (FLUX.1-specific)
- Quote text:
text \"APISHare\"beatsAPISHare text— 3× better success, dev more stable - Subject first:
a [subject], [material/lighting], [style], 4k— e.g.a ceramic coffee cup, studio lighting, minimal, 4k - No negative prompt for schnell: 4-step ignores it; dev can use
blurry, low quality - Fix seed for iteration:
seed=42to lock composition, then tweak prompt — 10× more efficient than random - Aspect ratio native:
1024×576landscape /576×1024portrait directly, no crop needed
Pitfalls
- Together 402 when credit exhausted: add card at https://api.together.ai/settings/billing or fallback to Pollinations no-key
- Pollinations domains differ:
image.pollinations.aino-key,text.pollinations.ai/openaionly free when anonymous (with key → 402) - Fal bills by steps: dev 28-step 8× pricier than schnell — filter with schnell, refine with dev
- HF cold start: first request may take 20s+, retry or switch to Together
- License: FLUX.1 schnell/dev Apache 2.0 commercial OK, pro requires license
FLUX.1 vs SDXL / SD3.5
| Dimension | FLUX.1 schnell | FLUX.1 dev | SDXL 1.0 | SD 3.5 Large |
|---|---|---|---|---|
| Text rendering | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐ |
| Speed | 1s | 5s | 4s | 5s |
| Native 1024px | ✅ | ✅ | ✅ | ✅ |
| Free images ($5) | ~1666 | ~200 | ~500 | ~150 |
| LoRA ecosystem | few | few | huge | medium |
Best Practice: Batch Workflow
1. Pollinations no-key batch filter prompts (0 cost, 10 RPM)
2. Together schnell 4-step batch 20 imgs ($0.06)
3. Pick 2 best → dev 28-step refine ($0.05)
4. Fixed 1024px + seed for A/B
Total: < $0.12 for 22 usable images
Summary
- Zero-cost trial:
GET image.pollinations.ai/prompt/xxx?model=flux— open in browser - Stable batch: Together $5 credit schnell $0.003/img ≈ 1600 free images
- High-quality cover: dev 28-step most stable for poster/cover text
- LLM + image: generate prompts with Kimi K2 / Qwen3, then feed FLUX.1 — one-click text-to-image stack
Complements morning Kimi K2 Free API Guide: morning for 1T MoE text, afternoon for 12B image — full free text+image stack ready. More at https://apishare.cc/free-api
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