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
Commit ·
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Parent(s): a29d49b
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README.md
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---
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license: creativeml-openrail-m
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datasets:
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- Duskfallcrew/Star_Marvel_Final
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language:
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- en
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library_name: diffusers
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tags:
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- lora
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- marvel
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- superhero
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- comics
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---
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# Low Rank Adaptation trained via https://colab.research.google.com/github/Linaqruf/kohya-trainer/blob/main/kohya-LoRA-dreambooth.ipynb
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Updates will be on civit: https://civitai.com/user/duskfallcrew
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