Instructions to use orlecampos/maya-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use orlecampos/maya-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-base-4B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("orlecampos/maya-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-base-4B", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("orlecampos/maya-lora")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]
Maya (maya_rios) β identity LoRA v1 (4B)
Identity LoRA for the fictional adult character Maya. Trained on the FLUX.2-klein base 4B and intended to be applied to the distilled Klein model.
Files
loras/maya_rios_v1_4b_000002250.safetensorsβ the elected checkpoint (step 2250), in ComfyUI layout (loras/), so it can be loaded directly by ComfyUI / Comfy Cloud.lora-maya-4b-v1/β the full training archive: every 250-step sampler checkpoint, the final state (maya_rios_v1_4b.safetensors, step 2500),config.yaml, optimizer state and sample grids.
Usage
- Trigger token:
maya_rios - Recommended weight: 0.5 β 0.7, alongside the character's prompt canon (hair, skin, eyes and styling described in text). Lower weights keep the base model's realism; higher weights lock identity harder.
- Elected by inspecting the sampling grids, not by step number: intermediate steps 750/1500 collapse framing, and 2000/2250 are the solid ones.
- Train on base, run on distilled β do not apply this LoRA to the base model expecting distilled speed.
Training
| Item | Value |
|---|---|
| Base | FLUX.2-klein base 4B (Apache-2.0) |
| Steps | 2500 (batch 2, 1024 px) |
| Rank / alpha | 128 / 64 |
| Learning rate | 1e-4, flowmatch scheduler, 8-bit optimizer, bf16 + qfloat8 |
| Dataset | 88 image+caption pairs β thirds of close-up / mid-body / full-body, 2784x4192 |
The 9B variant of Klein is non-commercial, which is why this LoRA was trained on the 4B base.
Notes
- The character is a fictional adult; do not use this model to depict real people or minors.
- Published for the owner's own pipeline (Comfy Cloud). Public visibility does not grant third parties a license for commercial use.
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Model tree for orlecampos/maya-lora
Base model
black-forest-labs/FLUX.2-klein-base-4B