--- tags: - text-to-image - lora - diffusers - flux-dev - acceleration - boost - add more details widget: - text: >- A high resolution photo of Einstein, white background, photo-realistic, high-detail output: url: images/1D26F9875801E83C340AD68A9314FDA3.png - text: >- A vibrant, starry night sky illuminates a lively street café, with warm golden lights spilling from its windows. The café is nestled on a narrow cobblestone street, surrounded by rustic buildings with swirling, textured brushstrokes. Bold, dynamic colors—deep blues and glowing yellows—fill the scene. People are seated at small round tables, sipping coffee, and chatting. The atmosphere is cozy and inviting, yet full of movement and energy, capturing the timeless essence of a Van Gogh painting. output: url: images/9A56E25462325F26969D3BE7C25E0FB2.png - text: >- A water color painting of a lone hiker standing triumphantly on the summit of a snow-capped mountain. The hiker, wearing a red jacket and backpack, is silhouetted against a clear blue sky. The word "ASCEND" is painted in bold, blue letters at the base of the mountain, adding a powerful message to the image. The overall impression is one of determination, achievement, and the beauty of nature. Dramatic high quality. output: url: images/E4A173A896720181562997D013FB69E2.png - text: >- Jewelry design, a ring with bright rose-cut blue diamonds, surrounded by small lily-of-the-valley flower-shaped diamonds, golden stems form the ring of the ring. The center of the base is a beautiful rose gold, with a detachable black ring on both sides output: url: images/BD3A5C572B0C795D628E0332CC3EE2AE.png base_model: black-forest-labs/FLUX.1-dev instance_prompt: >- No trigger word, plug and play, accelerate generation process & add more details! license: apache-2.0 --- # TurboRender ## Model description **TurboRender-flux-dev** is a plug-and-play LoRA designed to **not only speeds up generation but also delivers better details!** TurboRender-flux-dev generates better results compared to the original flux dev baseline within the **4-8 step range**. Additionally, when using more steps, it delivers **even finer details**, offering improved performance compared with LCM LoRA. The LoRA was trained in just 8 hours with 1x A100 GPU. Usage example ``` python from diffusers import DiffusionPipeline pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev") pipe.load_lora_weights("DarkMoonDragon/TurboRender-flux-dev") image = pipe( prompt="your prompt", guidance_scale=3.5, height=1024, width=1024, num_inference_steps=10, generator=torch.Generator(device='cuda').manual_seed(0) ).images[0] ``` ## Trigger words No trigger word, plug and play, accelerates generation process & adds more details!!! ## Download model Weights for this model are available in Safetensors format. [Download](/DarkMoonDragon/TurboRender-flux-dev/tree/main) them in the Files & versions tab.