Generate images with FLUX models via the inference.sh CLI.
npx skills add https://github.com/inference-sh/skills --skill flux-image-inference-sh
Please help me install this Agent Skill. Skill: flux-image Source: https://github.com/inference-sh/skills/tree/main/tools/image/flux-image Command: npx skills add https://github.com/inference-sh/skills --skill flux-image-inference-sh
This Skill enables users to generate high-quality images using various FLUX models, including text-to-image and image-to-image transformations, directly from the command line.
Generate an image of a futuristic city at night using the falai/flux-dev-lora model.
High-intent search queries and answers about installing and using this skill.
Text-to-image generation with FLUX models is done via the inference.sh CLI by providing a detailed text prompt. You can use models like falai/flux-dev-lora to create high-quality images directly from the command line.
Yes, you can modify existing images using the image-to-image transformation feature. This supports LoRA fine-tuning to apply custom artistic styles to your base image based on a text prompt.
The skill integrates with multiple FLUX model variants, including falai/flux-dev-lora and falai/flux-2-klein-lora. These models are optimized for diverse generation needs like speed, quality, or cost.
No external dependencies are required. The skill operates entirely through the inference.sh CLI and includes its own scripts and references to handle the image generation process.
Text-to-image creates an image from a detailed text prompt, while image-to-image modifies an existing image based on a prompt. Both methods support LoRA fine-tuning for applying custom styles.
Use LoRA fine-tuning when you need unique artistic outputs or custom styles. It allows you to apply specialized fine-tuned models to your text-to-image or image-to-image generation workflows.
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