FLUX.1 Dev
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
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Deep dive
Notes, sources, and the full write-up
FLUX.1 Dev
FLUX.1 Dev is Black Forest Labs' state-of-the-art text-to-image model. With 12 billion parameters and a rectified flow transformer architecture, it produces images rivaling Midjourney and DALL-E 3. It's the most popular open image model with 704K monthly downloads.
Key features
- 12B parameters - rectified flow transformer architecture
- 1024×1024 output - high-resolution image generation
- Guidance distilled - efficient inference from FLUX.1 Pro
- ComfyUI support - node-based workflow
- 41K+ adapters - massive LoRA ecosystem
- 704K monthly downloads - top text-to-image model
Usage
from diffusers import FluxPipeline
import torch
pipe = FluxPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev",
torch_dtype=torch.bfloat16
)
pipe.enable_model_cpu_offload()
prompt = "A cat holding a sign that says hello world"
image = pipe(
prompt,
height=1024, width=1024,
guidance_scale=3.5,
num_inference_steps=50,
max_sequence_length=512,
).images[0]
image.save("output.png")VRAM requirements
| Setup | VRAM | Notes |
|---|---|---|
| Full precision | ~24 GB | RTX 4090 |
| CPU offload | ~12 GB | Slower, fits 3090 |
| Quantized (FP8) | ~16 GB | ComfyUI optimizations |
Limitations
- Non-commercial license - personal/research use only
- No factual accuracy - not for information generation
- Prompt dependent - quality varies with prompting style
When to use
- Art & design - concept art, illustrations
- Marketing - social media visuals
- Product design - rapid prototyping
- Creative exploration - style experimentation
Frequently asked
Quick answers to common questions
How much VRAM does FLUX.1 Dev need?
FLUX.1 Dev with 12B parameters needs significant VRAM depending on quantization. Use our VRAM calculator for an exact estimate.
Is FLUX.1 Dev better than other FLUX models?
FLUX.1 Dev has 12B parameters with 8,192 context - a strong choice for text-to-image, image-generation.
What license is FLUX.1 Dev under?
FLUX.1 Dev is released under the Other license, making it suitable for most commercial and personal projects.
What hardware runs FLUX.1 Dev well?
With 12B parameters, FLUX.1 Dev requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for FLUX.1 Dev?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Step up to Q5_K_M or Q8_0 only if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with FLUX.1 Dev?
FLUX.1 Dev competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Compare & pair with
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