Instructions to use SedatAl/Crypto-Punk-LoRa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SedatAl/Crypto-Punk-LoRa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SedatAl/Crypto-Punk-LoRa") prompt = "pixel art cryptopunks, human, female, medium skin tone, Big Shades, Crazy Hair" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
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by SedatAl - opened
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README.md
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- diffusers-training
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- lora
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inference: true
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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- diffusers-training
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- lora
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inference: true
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widget:
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- text: >-
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pixel art cryptopunks, human, female, medium skin tone, Big Shades, Crazy
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Hair
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output:
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url: images/example_ccse1jdid.png
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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images/example_ccse1jdid.png
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