Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use SedatAl/pixel-art-LoRa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SedatAl/pixel-art-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("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SedatAl/pixel-art-LoRa") prompt = "pixel art thor holding hammer, lightning in background,digital art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#2
by SedatAl - opened
- README.md +8 -0
- images/example_bp5q1k6ji.png +0 -0
README.md
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art, pixiv fanbox, artstation, by greg rutkowski, miyazaki hayao
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output:
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url: images/example_llu7c5ezb.png
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---
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art, pixiv fanbox, artstation, by greg rutkowski, miyazaki hayao
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output:
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url: images/example_llu7c5ezb.png
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- text: >-
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portrait of a confident and mature looking northern blond demon lady in
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black bdsm leather mask, beautiful blue eyes and red lips, demon horns on
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her head, muscular body, art by artgerm and greg rutkowski and magali
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villeneuve, highly detailed, digital painting, trending on artstation,
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concept art, sharp focus, illustration, masterpiece
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output:
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url: images/example_bp5q1k6ji.png
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---
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images/example_bp5q1k6ji.png
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