File size: 2,073 Bytes
f2865a2 d089dab f2865a2 d089dab f2865a2 7363a0b 8e861af 289e7d0 7363a0b 289e7d0 5548c6c 080c044 5548c6c 080c044 5548c6c 080c044 5548c6c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 |
---
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
|