Instructions to use VHKE/flisps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VHKE/flisps 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("VHKE/flisps") prompt = "flisps on a glass box --d 45" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- fluxgym
widget:
- output:
url: sample/flisps_009000_01_20250304201250.png
text: flisps on a glass box --d 45
- output:
url: sample/flisps_008500_01_20250304200012.png
text: flisps on a display shop -- 45
- output:
url: sample/flisps_008000_01_20250304194736.png
text: flisps on a woman feet --d 45
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: flisps
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
flisps
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- flisps on a glass box --d 45

- Prompt
- flisps on a display shop -- 45

- Prompt
- flisps on a woman feet --d 45
Trigger words
You should use flisps 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.