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
#4
by SedatAl - opened
- README.md +6 -0
- images/example_z1fjheguo.png +0 -0
README.md
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artstation
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output:
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url: images/example_9u2arqo33.png
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datasets:
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- jainr3/diffusiondb-pixelart
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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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artstation
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output:
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url: images/example_9u2arqo33.png
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- text: >-
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iconic movie stills from david lynch's twin peaks, painted by edward
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hopper,, american realism, pixel art , 16 bit,
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output:
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url: images/example_z1fjheguo.png
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datasets:
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- jainr3/diffusiondb-pixelart
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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_z1fjheguo.png
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