Instructions to use jordansoftware/fof with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jordansoftware/fof with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jordansoftware/fof", 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
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("jordansoftware/fof", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]This repo is for testing the first Openjourney fine tuned model.
It was trained over Stable Diffusion 1.5 with +60000 images, 4500 steps and 3 epochs.
So "mdjrny-v4 style" is not necessary anymore (yay!)
Things to check in this beta:
- Is the quality better that the Dreambooth version?
- Downloads last month
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