Instructions to use dummbatz/swedisha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dummbatz/swedisha 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("dummbatz/swedisha") prompt = "swedisha a woman taking a selfie with her hand on her chin" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
swedenbomb_lora
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- swedisha a woman taking a selfie with her hand on her chin

- Prompt
- swedisha a woman standing in front of a white wall wearing a navy blue long-sleeved bodysuit and blue shorts

- Prompt
- swedisha In this image we can see a woman lying on the bed
Trigger words
You should use swedisha 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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Model tree for dummbatz/swedisha
Base model
black-forest-labs/FLUX.1-dev