Instructions to use dvyio/flux-lora-myst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dvyio/flux-lora-myst 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("dvyio/flux-lora-myst") prompt = "Tower Bridge, in the style of MST" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: Tower Bridge, in the style of MST
output:
url: images/0cnMqarHzd4Md8In0pqkm_6e3b133527fd47d89d6e0f32ffd535ca.jpg
- text: a man, in the style of MST
output:
url: images/URDSe3Vlj3nG_yRTTxBKh_eb182e23104e48339382f1d3878aad4c.jpg
- text: Boeing 747, in the style of MST
output:
url: images/EcRLAwIASCsb5QOCevoKA_8f0f3039e8314e3ba573813280104ad9.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: in the style of MST
license: other
license_name: flux-1-dev-non-commercial-license
license_link: LICENSE
Myst (Game Screenshot)

- Prompt
- Tower Bridge, in the style of MST

- Prompt
- a man, in the style of MST

- Prompt
- Boeing 747, in the style of MST
Model description
Trained using fal-ai/flux-lora-fast-training.
Trigger words
You should use in the style of MST to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.