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
| 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. | |