| | --- |
| | license: creativeml-openrail-m |
| | tags: |
| | - stable-diffusion |
| | - stable-diffusion-diffusers |
| | - text-to-image |
| | inference: true |
| | --- |
| | # Wall Street Journal Hedcut Style for Stable Diffusion |
| | Readers of the Wall Street Journal (WSJ) are familiar with the distinctive style used to create portaits of their writers and subjects. This is a fine-tuned stable |
| | diffusion model that can be used to create hedcut-styled images using the prompt **_wsj hedcut of \<subject\>_**. This model can also be used in a DreamBooth environment |
| | to train a face or other subject for custom and unique hedcuts. |
| |
|
| | #### *If you use this model, please make an effort to attribute the principal artist of the training images, Noli Novak, along with the other disclosures and restrictions required by the license. |
| | |
| | |
| | ```python |
| | #!pip install diffusers transformers scipy torch |
| | from diffusers import StableDiffusionPipeline |
| | import torch |
| | model_id = "dmillar/wsj-hedcut-v1" |
| | pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) |
| | pipe = pipe.to("cuda") |
| | prompt = "wsj hedcut of a woman" |
| | image = pipe(prompt).images[0] |
| | image.save("./woman_hedcut.png") |
| | ``` |
| | |
| | ## Sample Images |
| |  |
| | Prompt: "wsj hedcut of audrey hepburn, portrait, detailed, sharp, black and white, pleasing, white background", Steps: 20, Sampler: "Euler a", CFG scale: 7, Seed: 231828633 |
| |  |
| | Prompt: "wsj hedcut of the Kylian Mbappe, male, portrait, detailed, sharp, black and white, pleasing, white background", Steps: 20, Sampler: "Euler a", CFG scale: 7, Seed: 1863052262 |
| |  |
| | Prompt: "wsj hedcut of tom hanks, portrait, detailed, sharp, black and white, pleasing, white background", Steps: 20, Sampler: Euler a, CG scale: 7, Seed: 224907260 |
| |  |
| |  |
| | |
| | |
