Instructions to use flambuss420/lora3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flambuss420/lora3 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("flambuss420/lora3") prompt = "strayo" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from flambuss420/lora3: direct link, hf CLI and curl.
- Browser
- Download file 544 Bytes
-
https://huggingface.co/flambuss420/lora3/resolve/main/README.md
- Command line
-
hf download hf://flambuss420/lora3/README.md
-
curl -L -o README.md https://huggingface.co/flambuss420/lora3/resolve/main/README.md
544 Bytes
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: strayo
output:
url: images/jan-mueller.jpeg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: strayo
black-forest-labs/FLUX.1-dev

- Prompt
- strayo
Model description
sdf
Trigger words
You should use strayo to trigger the image generation.
Download model
Weights for this model are available in Safetensors,PyTorch format.
Download them in the Files & versions tab.