Instructions to use EzFlow/raniyah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EzFlow/raniyah 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("EzFlow/raniyah") prompt = "raniyah" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from EzFlow/raniyah: direct link, hf CLI and curl.
- Browser
- Download file 809 Bytes
-
https://huggingface.co/EzFlow/raniyah/resolve/main/README.md
- Command line
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hf download hf://EzFlow/raniyah/README.md
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curl -L -o README.md https://huggingface.co/EzFlow/raniyah/resolve/main/README.md
809 Bytes
metadata
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: raniyah
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
raniyah
Model description
a 1-month-old baby who is mixed race with black & Arabian, long hair, grey eyes, and light brown skin
Trigger words
You should use raniyah to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.