Instructions to use serbdev/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use serbdev/test 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-schnell", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("serbdev/test") prompt = "t3st human in office --d 42" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- fluxgym
widget:
- output:
url: sample/test_000010_02_20241013095235_42.png
text: t3st human in office --d 42
- output:
url: sample/test_000020_02_20241013095330_42.png
text: t3st man and woman standing in front of a laptop computer --d 42
- output:
url: sample/test_000030_02_20241013095426_42.png
text: t3st man dog waiting mail --d 42
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: t3st
license: apache-2.0
test
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- t3st human in office --d 42

- Prompt
- t3st man and woman standing in front of a laptop computer --d 42

- Prompt
- t3st man dog waiting mail --d 42
Trigger words
You should use t3st to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.