Instructions to use samuek9/samuel_vasquez_dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use samuek9/samuel_vasquez_dev 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("samuek9/samuel_vasquez_dev") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SAMUEL VASQUEZ LORA

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Trigger words
You should use samuelvasquez to trigger the image generation.
You should use samuelvasquez1 to trigger the image generation.
You should use samuelvasquez2 to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for samuek9/samuel_vasquez_dev
Base model
black-forest-labs/FLUX.1-dev