Instructions to use creatorchain/SPX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use creatorchain/SPX 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("creatorchain/SPX") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/r1L54MICOLyxE5y11R3hy_f3a8176de0ea4d82868586512fd953f3.jpg
- text: '-'
output:
url: images/h5AxYYNH2KJHmUR_oH77W_18043b37182f4df6a8cb092427571128.jpg
- text: '-'
output:
url: images/_S6R9oes-Tufa3PHaBD0a_130745ca974a4a5e85283275d3ae167b.jpg
- text: '-'
output:
url: images/Z1zYF1y5oo2WWzDKbpXb5_131aa344b3ea443e8fc8a5834bddb801.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: SPX
license: apache-2.0
SPX

- Prompt
- -

- Prompt
- -

- Prompt
- -

- Prompt
- -
Trigger words
You should use SPX to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.