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
File size: 891 Bytes
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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](https://github.com/cocktailpeanut/fluxgym)
<Gallery />
## 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.
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