Instructions to use joerose/msct-sct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joerose/msct-sct 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("joerose/msct-sct") prompt = "An image meme of $sct standing in front of a whiteboard that says “rebrand = personality + pain”. $sct is holding a marker like a TED Talk speaker. Plain background." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
msct-sct
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- An image meme of $sct standing in front of a whiteboard that says “rebrand = personality + pain”. $sct is holding a marker like a TED Talk speaker. Plain background.

- Prompt
- Illustration of $sct doing a one-legged squat on top of a kettlebell while balancing a tablet. Plain background.

- Prompt
- An image meme of $sct holding two dumbbells labeled “content” and “context”, struggling slightly. Text below: “ME TRYING TO BE STRATEGIC AT THE GYM.”

- Prompt
- Illustration of $sct mid-air, backflipping off a giant protein bar. Gym equipment scattered below. Plain background.

- Prompt
- An image meme of $sct lying on a bench press, being spotted by a second $sct in a headband. Text below: “WHEN THE CLIENT SAYS ‘JUST MAKE IT VIRAL’.”
Trigger words
You should use $sct 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.
- Downloads last month
- 24
Model tree for joerose/msct-sct
Base model
black-forest-labs/FLUX.1-dev