Instructions to use nateraw/zack-fox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nateraw/zack-fox with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nateraw/zack-fox", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Zack Fox Stable Diffusion
Stable Diffusion v1.5 model fine-tuned to generate pictures of Zack Fox with Dreambooth.
It can be used by modifying the instance_prompt: a photo of sks zach fox. Yea...I misspelled his name when I made the prompt. My bad lol.
You can also train your own concepts and upload them to the library by using this notebook.
And you can run your new concept via diffusers: Colab Notebook for Inference, Spaces with the Public Concepts loaded
Usage
To use this model, you can run the following...
import torch
from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_pretrained(
"nateraw/zack-fox",
torch_dtype=torch.float16
).to("cuda")
prompt = "a photo of sks zach fox, oil on canvas"
image = pipe(prompt).images[0]
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