# Flux Dev Lora — Atlas Cloud API > Rapid, high-quality image generation with FLUX.1 [dev] and LoRA support for personalized styles and brand-specific outputs. This is the machine-readable API reference for **Flux Dev Lora** on Atlas Cloud, a unified API platform for 400+ AI models across text, image, video, audio and 3D. - **Model ID**: `black-forest-labs/flux-dev-lora` - **Built by**: Black Forest Labs - **Modality**: Image - **Model page**: https://www.atlascloud.ai/models/black-forest-labs/flux-dev-lora - **API key**: https://www.atlascloud.ai/console/api-keys - **Docs**: https://www.atlascloud.ai/docs ## Pricing on Atlas Cloud - $0.015 per image - Pay-as-you-go. No minimum spend, no subscription required. > **These are the authoritative Atlas Cloud rates for this model.** Any price that > appears in the vendor description further down refers to a different platform or > a different model variant and does not apply here. ## Use this model from an AI agent Atlas Cloud ships three first-party integration surfaces. All three authenticate with the same API key via the `ATLASCLOUD_API_KEY` environment variable. ### MCP server The official MCP server (`atlascloud-mcp`) exposes this model to any MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose, Claude Desktop. One-line install: ```bash # Claude Code claude mcp add atlascloud -- npx -y atlascloud-mcp # OpenAI Codex CLI codex mcp add atlascloud -- npx -y atlascloud-mcp # Gemini CLI gemini mcp add atlascloud -- npx -y atlascloud-mcp export ATLASCLOUD_API_KEY="your-api-key" ``` Then ask in plain English; the agent calls `atlas_generate_image` with `model: "black-forest-labs/flux-dev-lora"`. The server fetches each model's schema and validates parameters before submitting, so invalid requests fail fast without spending credits. MCP docs: https://www.atlascloud.ai/docs/mcp-server ### Agent Skills `atlas-cloud-skills` is a portable skill package (API reference, code templates in Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and 12+ other agents: ```bash npx skills add AtlasCloudAI/atlas-cloud-skills export ATLASCLOUD_API_KEY="your-api-key" ``` Skills docs: https://www.atlascloud.ai/docs/skills ### CLI The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs are polled and downloaded automatically (use `--no-download` when a script only needs the output URLs): ```bash # Install (Homebrew, npm, or shell installer) brew install AtlasCloudAI/tap/atlascloud # npm install -g atlascloud-cli # curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh atlas auth login atlas generate image black-forest-labs/flux-dev-lora -p "Your prompt here" ``` CLI docs: https://www.atlascloud.ai/docs/cli ## HTTP API reference - **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateImage` — start an async generation; returns a `prediction_id` - **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes - **Model ID**: `black-forest-labs/flux-dev-lora` ## API Information This model can be used via our HTTP API or more conveniently via our client libraries. See the input and output schema below, as well as the usage examples. ### Input Schema The API accepts the following input parameters: - **`model`** (`string`, _required_): model name - Default: `"black-forest-labs/flux-dev-lora"` - **`prompt`** (`string`, _required_): Input prompt for image generation - Default: `"Super Realism, Woman in a red jacket, snowy, in the style of hyper-realistic portraiture, caninecore, mountainous vistas, timeless beauty, palewave, iconic, distinctive noses --ar 72:101 --stylize 750 --v 6"` - **`negative_prompt`** (`string`, _optional_): What to steer the image away from. Only takes effect when cfg_scale > 1; setting a non-empty negative_prompt while cfg_scale <= 1 is rejected with HTTP 400. - Default: `""` - **`image`** (`string`, _optional_): - Default: `""` - **`mask_image`** (`string`, _optional_): The mask image tells the model where to generate new pixels (white) and where to preserve the original image (black). It acts as a stencil or guide for targeted image editing. - **`strength`** (`number`, _optional_): Strength indicates extent to transform the reference image - Default: `0.8` - Min: 0 - Max: 1 - **`loras`** (`array`, _optional_): List of LoRAs to apply (max 5) - Default: `[{"path":"strangerzonehf/Flux-Super-Realism-LoRA","scale":1}]` - Max items: 5 - **`size`** (`string`, _optional_): Output image size - Default: `"1024*1024"` - **`num_inference_steps`** (`integer`, _optional_): The number of inference steps to perform. - Default: `28` - Min: 1 - Max: 50 - **`guidance_scale`** (`number`, _optional_): Flux embedded guidance strength. Higher values make the image follow the prompt more closely. This is not True CFG and does not require a negative prompt. Default 2.5. - Default: `2.5` - Min: 0 - Max: 20 - **`cfg_scale`** (`number`, _optional_): True classifier-free guidance. Keep at 1.0 (off) for normal use. Set it above 1.0 to enable negative prompting; a non-empty negative_prompt requires cfg_scale > 1, otherwise the request is rejected. On its own (with an empty negative_prompt) it has no effect on the result. Default 1.0. - Default: `1` - Min: 0 - Max: 20 - **`num_images`** (`integer`, _optional_): Number of images to generate - Default: `1` - Min: 1 - Max: 4 - **`seed`** (`integer`, _optional_): Random seed (-1 for random) - Default: `-1` **Required Parameters Example**: ```json { "model": "black-forest-labs/flux-dev-lora", "prompt": "Super Realism, Woman in a red jacket, snowy, in the style of hyper-realistic portraiture, caninecore, mountainous vistas, timeless beauty, palewave, iconic, distinctive noses --ar 72:101 --stylize 750 --v 6" } ``` **Full Example**: ```json { "model": "black-forest-labs/flux-dev-lora", "prompt": "Super Realism, Woman in a red jacket, snowy, in the style of hyper-realistic portraiture, caninecore, mountainous vistas, timeless beauty, palewave, iconic, distinctive noses --ar 72:101 --stylize 750 --v 6", "negative_prompt": "", "image": "", "mask_image": "", "strength": 0.8, "loras": [ { "path": "strangerzonehf/Flux-Super-Realism-LoRA", "scale": 1 } ], "size": "1024*1024", "num_inference_steps": 28, "guidance_scale": 2.5, "cfg_scale": 1, "num_images": 1, "seed": -1 } ``` ### Output Schema The API returns the following output format: - **`id`** (`string`, _optional_): Unique prediction ID - **`logs`** (`string`, _optional_): Execution logs - **`urls`** (`string`, _optional_): - **`input`** (`string`, _optional_): - **`model`** (`string`, _optional_): Model name - **`output`** (`array[string]`, _optional_): Generated output URLs - **`status`** (`string`, _optional_): Prediction status - Options: "queued", "processing", "succeeded", "failed" - **`created_at`** (`string`, _optional_): Creation timestamp - **`has_nsfw_contents`** (`array[boolean]`, _optional_): NSFW content detection results **Example Response**: ```json { "id": "", "logs": "", "urls": null, "input": null, "model": "", "output": [ "" ], "status": "queued", "created_at": "", "has_nsfw_contents": [] } ``` ## Usage Examples ### cURL ```bash # Step 1: Start generation (async) curl -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \ -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "black-forest-labs/flux-dev-lora", "prompt": "Super Realism, Woman in a red jacket, snowy, in the style of hyper-realistic portraiture, caninecore, mountainous vistas, timeless beauty, palewave, iconic, distinctive noses --ar 72:101 --stylize 750 --v 6", "negative_prompt": "", "image": "", "mask_image": "", "strength": 0.8, "loras": [ { "path": "strangerzonehf/Flux-Super-Realism-LoRA", "scale": 1 } ], "size": "1024*1024", "num_inference_steps": 28, "guidance_scale": 2.5, "cfg_scale": 1, "num_images": 1, "seed": -1 }' # Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}} # Step 2: Poll for result (replace {prediction_id} with the id returned above) curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \ -H "Authorization: Bearer $ATLASCLOUD_API_KEY" # Keep polling until status is "completed", "succeeded" or "failed" # When completed, outputs will contain the generated content URL(s) ``` ## Additional Resources ### Documentation - [Model Playground](https://www.atlascloud.ai/models/black-forest-labs/flux-dev-lora) ## About this model _Vendor-supplied description. Any pricing or endpoint mentioned below refers to_ _other platforms — use the Atlas Cloud values above._ ### Flux-Dev-Lora flux-dev-lora is a 12 billion parameter rectified flow transformer capable of generating images from textual descriptions. For more information, please read our blog post. #### Key Features 1. Competitive prompt following: Matches the performance of closed-source alternatives in understanding and executing prompts. 2. Efficient training with guidance distillation: This approach makes the model more efficient and responsive. 3. Open weights: Empowering new scientific research and enabling artists to develop innovative workflows. 4. Versatile usage: Outputs can be utilized for personal, scientific, and commercial purposes. #### Limitations * The model is not designed to provide factual or verified information. * Being a statistical model, it may amplify existing societal biases. * Generated outputs might not always perfectly correspond to the given prompts. * Prompt interpretation is strongly influenced by the phrasing of the input. #### Out-of-Scope Use The model and its derivatives may not be used in any way that violates applicable national, federal, state, local, or international law or regulation, including but not limited to: * Exploiting, harming, or attempting to exploit or harm minors, including solicitation, creation, acquisition, or dissemination of child exploitative content. * Generating or disseminating verifiably false information with the intent to harm others. * Creating or distributing personal identifiable information that could be used to harm an individual. * Harassing, abusing, threatening, stalking, or bullying individuals or groups. * Producing non-consensual nudity or illegal pornographic content. * Making fully automated decisions that adversely affect an individual’s legal rights or create binding obligations. * Facilitating large-scale disinformation campaigns. --- Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/black-forest-labs/flux-dev-lora · Docs: https://www.atlascloud.ai/docs