Instructions to use Veever/Test_Lora1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Veever/Test_Lora1 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("Veever/Test_Lora1") prompt = "highwrestlingboots" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Veever/Test_Lora1: direct link, hf CLI and curl.
- Browser
- Download file 740 Bytes
-
https://huggingface.co/Veever/Test_Lora1/resolve/main/README.md
- Command line
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hf download hf://Veever/Test_Lora1/README.md
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curl -L -o README.md https://huggingface.co/Veever/Test_Lora1/resolve/main/README.md
740 Bytes
metadata
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: highwrestlingboots
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
Test_Lora1
Model description
test
Trigger words
You should use highwrestlingboots 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.