Instructions to use glif-loradex-trainer/SHIPLEY_CrossHatchStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/SHIPLEY_CrossHatchStyle 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("glif-loradex-trainer/SHIPLEY_CrossHatchStyle") prompt = "wounded centaur, mythical creature CHS" image = pipe(prompt).images[0] - Inference
- 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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("glif-loradex-trainer/SHIPLEY_CrossHatchStyle")
prompt = "wounded centaur, mythical creature CHS"
image = pipe(prompt).images[0]CrossHatchStyle
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user SHIPLEY.

- Prompt
- wounded centaur, mythical creature CHS

- Prompt
- ruins of an ancient city CHS

- Prompt
- a boy crying outside CHS
Trigger words
You should use CHS to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
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Model tree for glif-loradex-trainer/SHIPLEY_CrossHatchStyle
Base model
black-forest-labs/FLUX.1-dev