Instructions to use Marx23411/Zelretchwithclothes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Marx23411/Zelretchwithclothes with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("btaskel/noobai-XL-Vpred-1.0-GGUF", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Marx23411/Zelretchwithclothes") prompt = "Zelretch22, old man, 1man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Zelretchwithclothes
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- Prompt
- Zelretch22, old man, 1man
Model description
Base Model: NoobAI-XL-Vpred-1.0
Steps: 4000
CFG: 4 ~ 5
Steps: 28 ~ 35
Sampling Method: Euler
Resolution: Total area around 1024x1024. Best to choose from: 768x1344, 832x1216, 896x1152, 1024x1024, 1152x896, 1216x832, 1344x768
Positive Prompt: masterpiece, best quality, newest, absurdres, highres,
Negative Prompt: worst quality, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro
Trigger words
You should use Zelretch22 to trigger the image generation.
You should use old man to trigger the image generation.
You should use zelretch_clothes 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/Zelretchwithclothes
Base model
Laxhar/noobai-XL-Vpred-0.5 Finetuned
Laxhar/noobai-XL-Vpred-0.6 Finetuned
Laxhar/noobai-XL-Vpred-0.65 Finetuned
Laxhar/noobai-XL-Vpred-0.75 Finetuned
Laxhar/noobai-XL-Vpred-1.0 Quantized
btaskel/noobai-XL-Vpred-1.0-GGUF