AuraFlow
fal基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Basic profile indexed · More details to follow
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗DISCOVER & COMPARE
Explore AI models 12
基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Basic profile indexed · More details to follow
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗AuraSR-v2
fal基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Input Image→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Basic profile indexed · More details to follow
Input Image→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗**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**. 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.
Input Text→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Virtual clothing try-on LoRA for Flux Klein 9b Edit. Given a person image and clothing reference images, generates a realistic result of the person wearing the specified outfit. **Try it now:** - Playground (direct) — upload your images and run the model - Workflow with LLM — auto-generates the prompt for you > Example images shown on this page were generated using Nano Banana Pro and are not part of the training data.
Input Image→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Best paired with the render‑to‑real endpoint's `enable_detail_refine` option (extra 2× spatial‑upscale + detailer pass). File: `3DREAL-strong-v2.safetensors`. Made with Strong v2 — a 1930s chase short where every shot starts as a Blender blockout (action, cameras and cuts owned by the 3D scene): This is an **IC‑LoRA** (in‑context LoRA) for **LTX‑2.3** that turns a rough grey 3D viewport animation (a simple low‑poly blockout) into a fully **photorealistic, film‑quality** video, while keeping the **exact composition, camera move and layout** of the input.
Input Image→ Output Video
Price not verifiedCheck multimodal and channel pricing separately
View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Input Image→ Output Video
Price not verifiedCheck multimodal and channel pricing separately
View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Basic profile indexed · More details to follow
Input Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗A LoRA adapter for MiniMax H3 specialized in realistic people: faces that hold up in close-up, natural skin texture, believable expressions and gestures, film-style lighting and documentary camera movement. 19 pairs, **same prompt, same seed, adapter on vs off** — the only variable is the LoRA. The trigger word is present on both sides, so it is not doing the work. Each pair plays the base model first, then freezes and dims while the adapted version plays beside it. Close-up talking faces, arguments, several people speaking at once, weathered skin, children, ritual and travel scenes. Nothing cherry-picked from a larger render batch: these are the pairs that were kept, in order. (download the comparison, 197s, 1920x1080)
Input Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗> **Multi-angle camera control LoRA for Qwen-Image-Edit-2511** > > 96 camera positions • Trained on 3000+ Gaussian Splatting renders • Built with fal.ai **This is the first multi-angle camera control LoRA for Qwen-Image-Edit-2511.** While Qwen-Image-Edit-2511 has built-in viewpoint capabilities, this LoRA provides:
Input Image→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Input Image→ Output Image
Price not verifiedCheck multimodal and channel pricing separately
View details ↗No matching models
Adjust provider, category or input/output filters. New models are added continuously.
COST EXPLORER
Great models. Clear costs.
Adjust monthly token usage to compare estimated API costs.
1 M = 1 million tokens · USD
Compares base text-token rates within the same channel
Compares base text-token rates within the same channel
Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.
MODEL HANDBOOK
Understand before you choose
How should API prices be compared?+
Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.
Do open weights mean free commercial use?+
Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.
Is the top-ranked model the best for me?+
Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.