Instructions to use Jonjew/PatrickJonesStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/PatrickJonesStyle 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("Jonjew/PatrickJonesStyle") prompt = "Art by Patrick Jones" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("Jonjew/PatrickJonesStyle")
prompt = "Art by Patrick Jones"
image = pipe(prompt).images[0]Patrick Jones Style

- Prompt
- Art by Patrick Jones
Model description
FROM https://civitai.green/images/67097781
Please support the creator by donating buzz and liking at the page above!
Tigger Art by Patrick Jones
Strength 0.7
About this version
Model trained on civitai with 50 images.
Recommended resources : Fluxmania
Recommended settings : dpmpp_2m or heunpp2 / sgm_uniform / 25 steps / guidance : 2.5 to 3.5
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Jonjew/PatrickJonesStyle
Base model
black-forest-labs/FLUX.1-dev