Instructions to use nourix2/lora-nouri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nourix2/lora-nouri 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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nourix2/lora-nouri") prompt = "Nouri" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from nourix2/lora-nouri: direct link, hf CLI and curl.
- Browser
- Download file 589 Bytes
-
https://huggingface.co/nourix2/lora-nouri/resolve/main/README.md
- Command line
-
hf download hf://nourix2/lora-nouri/README.md
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curl -L -o README.md https://huggingface.co/nourix2/lora-nouri/resolve/main/README.md
589 Bytes
metadata
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Nouri
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
lora nouri
Model description
Nouri lora trained on fal.ai
Trigger words
You should use Nouri to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.