Instructions to use EarthnDusk/Star_Marvel_Final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EarthnDusk/Star_Marvel_Final with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("EarthnDusk/Star_Marvel_Final") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
metadata
license: creativeml-openrail-m
datasets:
- Duskfallcrew/Star_Marvel_Final
language:
- en
library_name: diffusers
tags:
- lora
- marvel
- superhero
- comics
Low Rank Adaptation trained via https://colab.research.google.com/github/Linaqruf/kohya-trainer/blob/main/kohya-LoRA-dreambooth.ipynb
Updates will be on civit: https://civitai.com/user/duskfallcrew