Instructions to use shouldis/risograph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shouldis/risograph 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("shouldis/risograph") prompt = "A risograph print style poster of a photograph of purple mountains with blue and pink circles floating, grainy gradients in the style of RISOG" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
risograph

- Prompt
- A risograph print style poster of a photograph of purple mountains with blue and pink circles floating, grainy gradients in the style of RISOG
Trigger words
You should use RISOG to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for shouldis/risograph
Base model
black-forest-labs/FLUX.1-dev