Instructions to use steven-lf/dev-2-test-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use steven-lf/dev-2-test-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("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("steven-lf/dev-2-test-1") prompt = "LF-WCA-PEOPLE-FLUX-DEV-2-test-v1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from steven-lf/dev-2-test-1: direct link, hf CLI and curl.
- Browser
- Download file 609 Bytes
-
https://huggingface.co/steven-lf/dev-2-test-1/resolve/main/README.md
- Command line
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hf download hf://steven-lf/dev-2-test-1/README.md
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curl -L -o README.md https://huggingface.co/steven-lf/dev-2-test-1/resolve/main/README.md
609 Bytes
metadata
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: undefined
instance_prompt: LF-WCA-PEOPLE-FLUX-DEV-2-test-v1
license: other
dev 2 test 1
Model description
Trigger words
You should use LF-WCA-PEOPLE-FLUX-DEV-2-test-v1 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-2-trainer/edit.