Instructions to use Marx23411/Zelretchv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Marx23411/Zelretchv3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LyliaEngine/waiIllustriousSDXL_v170", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Marx23411/Zelretchv3") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
ZelretchV3
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- Prompt
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Model description
Testing Steps: 4000 Sampler: euler-a
Trigger words
You should use Zelretch22 to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for Marx23411/Zelretchv3
Base model
KBlueLeaf/kohaku-xl-beta5