Instructions to use Marx23411/Zelretchv5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Marx23411/Zelretchv5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Laxhar/noobai-XL-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Marx23411/Zelretchv5") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Zelretchv5
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- Prompt
- -
Model description
Base model: HomoSimile XL v7.0 [NAI-XL EPS] Steps: 4000 Sampler: dpmpp_2m Sampling Steps: 20+ Upscaler: 4x_NMKD-Siax_200k / Remacri CFG Scale: 3 - 5 Clip Skip: 2 VAE : Already built-in
positive prompt: very awa, masterpiece, best quality, absurdres, perfect quality, detailed background, intricate details
negative prompt: lowres, worst quality, bad quality, bad anatomy, signature, username, logo, watermark, artist name, bad hands
Trigger words
You should use Zelretch22 to trigger the image generation.
Download model
Download them in the Files & versions tab.
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