Instructions to use namelessai/leaflux.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use namelessai/leaflux.1 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.1-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("namelessai/leaflux.1") prompt = "leaf, singular, green, closeup, 4k, white background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
LeaFlux

- Prompt
- leaf, singular, green, closeup, 4k, white background

- Prompt
- -

- Prompt
- -
Model description
Model trained to create photorealistic images of leaves.
Trigger words
You should use leaf to trigger the image generation.
You should use green to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Compute
Model is currently hosted on inference endpoints. Average time to queue and compute for free users is ~40 seconds. Average time to queue and compute for PRO users is 25 seconds. If you want to support me because you like the model, you can pay for it at https://tensor.art/models/806325645614304575?source_id=kT6wpVrilUi1ofIiYX_9-xMm
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Model tree for namelessai/leaflux.1
Base model
black-forest-labs/FLUX.1-schnell