Text-to-Image
Diffusers
English
FluxPipeline
template:sd-lora
flux
lora
flux dev
image-generation
painting
art
illustration
pop art
sots art
Instructions to use AlekseyCalvin/SOTS_art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/SOTS_art with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlekseyCalvin/SOTS_art") prompt = "SOTS art style painting" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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url: sotsart4.webp
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- text: SOTS art style painting
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output:
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url: sotsart5.
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url: sotsart4.webp
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output:
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