Instructions to use mrTvister/HSP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrTvister/HSP 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("mrTvister/HSP") prompt = "red and blue vector style poster with a border, fox with cupcake, bottom of poster has bold blue text \"Anna\" <lora:Hope_Style_Poster__Flux:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Hope style poster

- Prompt
- red and blue vector style poster with a border, fox with cupcake, bottom of poster has bold blue text "Anna" <lora:Hope_Style_Poster__Flux:1>
Trigger words
You should use red and blue vector style poster to trigger the image generation.
You should use bottom of poster has bold blue text "Text" to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for mrTvister/HSP
Base model
black-forest-labs/FLUX.1-dev