Flux Dev Multi LoRA AI Generator
Generated on PixelDojo with Flux Dev Multi LoRA. Produced by PixelDojo's generation pipeline.
Flux Dev Multi LoRA costs 1 credit per image, the same price as plain Flux Dev. We ran it with no custom LoRA loaded at all, as a plain generation, and it took about 126 seconds on August 26, 2026 to return a full terraced valley scene. The point of this variant is not a different look out of the box. It is the ability to stack several trained LoRAs, for a character plus a style plus a lighting look, in one 1 credit call.
The baseline run, no LoRA loaded, first result
Every example below was produced on PixelDojo. Hover to see the prompt.
Storm light over a terraced rice valley after rain, low clouds drifting through, a hiker in a red jacket on the ridge path, epic scale
Flux Dev Multi LoRA
Where to train and run the LoRAs it stacks
Switch models without switching tools. Each one runs in the same PixelDojo studio.
What stacking actually adds over plain Flux Dev
What we saw with no LoRA loaded
A wide valley view down a cloud-wrapped gorge, terraced green fields on the floor, a muddy river winding between them, and a hiker in a red jacket descending a dirt ridge trail on the right edge of frame. The storm light reads as flat overcast rather than dramatic shafts, a plainer render than the sharper light we got from the Pro tier on the identical prompt the same day.
Where the price is really spent
This model exists for hf_loras and lora_scales, not for the base look. Load two or three trained LoRAs, one for a character, one for an art style, and the stacking happens inside a single 1 credit request rather than a chain of separate edits.
How it differs from Flux Krea Dev
Krea Dev takes exactly one LoRA through lora_weights and lora_scale. Multi LoRA is the version built for combining several at once through the array fields instead.
The turnaround runs long
Our unloaded run took about 126 seconds and returned through a job poll rather than inside the request. Budget for an async wait rather than an instant result.
Same 1 credit as base Flux Dev. The difference shows up when you load LoRAs, not before.
Why Choose Pixel Dojo for Flux Dev Multi LoRA
Professional-quality results with cutting-edge AI technology
1 credit per image, same as plain Flux Dev
Stacking LoRAs costs nothing extra by itself. The price is set by the tier, not by how many custom weights you load into the call.
About 126 seconds with no LoRA loaded
Timed on August 26, 2026 from request to finished file, running the model with no hf_loras set, as a plain generation. It went past the API's 30 second sync window and returned through a job poll.
Stacks several LoRAs in one call
hf_loras takes an array of HuggingFace LoRA paths with matching lora_scales, so more than one trained style or subject can combine in a single request.
The plain-generation baseline still holds up
With no LoRA at all, it produced a full, coherent scene from the prompt alone, which is the number worth knowing before you add the complexity of stacking weights.
How It Works
Reproduce the baseline test, then add your own LoRAs:
Run it once with no LoRA to see the base look
That is what we did: our landscape prompt with hf_loras left empty came back as a full 1 credit scene in about 126 seconds.
Add hf_loras and lora_scales for a trained style
Pass one or more HuggingFace LoRA references with matching scale values. This is the field plain Flux Dev does not expose.
Generate in the app or over the API
Run it from the tool page, or POST to /api/v1/models/flux-dev-multi-lora/run. The price stays 1 credit whether or not a LoRA is loaded.
Loved by creators on PixelDojo
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Lots of Tools, and the one time I needed support I got help right away
Easy to use once you get the hang of it
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Because it is awesome
exceptional quality and great overall design of platform and interface. very intuative. love the creative freedom.
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Common Questions
Everything you need to know about Flux Dev Multi LoRA
How much does Flux Dev Multi LoRA cost?
1 credit per image, the same rate as plain Flux Dev. Adding hf_loras and lora_scales to the request does not raise the price.
How fast is it?
About 126 seconds in our August 26, 2026 run with no LoRA loaded, timed from request to finished file. It went past the API's 30 second synchronous window and returned as a polled job. Turnaround moves with queue load and generally lengthens further once LoRA weights have to be fetched and applied.
How is this different from plain Flux Dev?
Same 1 credit price and the same base model. Plain Flux Dev takes no LoRA input at all. This variant adds hf_loras and lora_scales so more than one trained LoRA can apply in a single generation.
How is it different from Flux Krea Dev?
Krea Dev, also 1 credit, takes exactly one LoRA through lora_weights and lora_scale, and its base tuning favors a restrained photographic look. Multi LoRA is built to stack several LoRAs at once through array fields instead of just one.
What did it produce with no LoRA at all?
A complete, coherent landscape scene from the prompt alone: a cloud-wrapped valley, terraced fields, a river, and a hiker in a red jacket on the ridge. Flatter light than the Pro tier gave us on the same prompt, but a usable baseline before any LoRA is added.
How do I call it from the API?
POST to /api/v1/models/flux-dev-multi-lora/run with your API key, a prompt, and optionally hf_loras plus lora_scales as arrays. Same key and endpoint shape as every other model in the catalog.