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--- |
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language: |
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- en |
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license: other |
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license_name: flux-dev-non-commercial-license |
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license_link: https://huggingface.co/black-forest-labs/FLUX.2-dev/blob/main/LICENSE.txt |
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base_model: black-forest-labs/FLUX.2-dev |
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tags: |
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- image-generation |
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- flux |
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- lora |
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- distillation |
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- turbo |
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pipeline_tag: text-to-image |
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library_name: diffusers |
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--- |
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# FLUX.2 [dev] Turbo LoRA |
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**FLUX.2 [dev] Turbo** is a distilled LoRA adapter for [FLUX.2 [dev]](https://huggingface.co/black-forest-labs/FLUX.2-dev) that enables high-quality image generation in just **8 inference steps**. |
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--- |
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--- |
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## Key Features |
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- ⚡ **8-step inference** — 6x faster than the base model's typical 50 steps |
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- 🎨 **Quality preserved** — Matches or surpasses the original FLUX.2 [dev] quality |
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- 🔌 **LoRA adapter** — Lightweight, easy to integrate with existing FLUX.2 workflows |
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- 🖼️ **Multiple modes** — Supports both text-to-image and image editing |
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## Hosted API Endpoints |
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FLUX.2 [dev] Turbo is available through fal.ai hosted endpoints: |
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- [Text-to-Image](https://fal.ai/models/fal-ai/flux-2/turbo) |
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- [Image Editing](https://fal.ai/models/fal-ai/flux-2/turbo/edit) |
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## ComfyUI |
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ComfyUI-compatible weights are available in the `comfy/` directory, converted by [ByteZSzn](https://huggingface.co/ByteZSzn/Flux.2-Turbo-ComfyUI). |
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## Usage |
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```python |
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import torch |
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from diffusers import Flux2Pipeline |
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# Pre-shifted custom sigmas for 8-step turbo inference |
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TURBO_SIGMAS = [1.0, 0.6509, 0.4374, 0.2932, 0.1893, 0.1108, 0.0495, 0.00031] |
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pipe = Flux2Pipeline.from_pretrained( |
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"black-forest-labs/FLUX.2-dev", |
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torch_dtype=torch.bfloat16 |
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).to("cuda") |
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pipe.load_lora_weights( |
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"fal/FLUX.2-dev-Turbo", |
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weight_name="flux.2-turbo-lora.safetensors" |
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) |
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prompt = "Industrial product shot of a chrome turbocharger with glowing hot exhaust manifold, engraved text 'FLUX.2 [dev] Turbo by fal' on the compressor housing and 'fal' on the turbine wheel, gradient heat glow from orange to electric blue , studio lighting with dramatic shadows, shallow depth of field, engineering blueprint pattern in background." |
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image = pipe( |
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prompt=prompt, |
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sigmas=TURBO_SIGMAS, |
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guidance_scale=2.5, |
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height=1024, |
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width=1024, |
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num_inference_steps=8, |
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).images[0] |
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image.save("output.png") |
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``` |
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## License |
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This model inherits the [FLUX [dev] Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.2-dev/blob/main/LICENSE.txt) from the base model. |
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