Instructions to use jakohist/j33s4m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jakohist/j33s4m with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jakohist/j33s4m") prompt = "Jjjjj" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
j33s4m

- Prompt
- Jjjjj
Trigger words
You should use j33s4m to trigger the image generation.
Download model
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Model tree for jakohist/j33s4m
Base model
krea/Krea-2-Raw