Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use SedatAl/skyscraper-LoRa-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SedatAl/skyscraper-LoRa-0 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/skyscraper-LoRa-0") prompt = "a skyscraper in a city building game, square base, no cars,lowpoly" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#3
by SedatAl - opened
- README.md +6 -0
- images/example_zaedztur7.png +0 -0
README.md
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against a solid, light blue background. lowpoly
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output:
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url: images/example_phg3i6aii.png
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---
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# LoRA text2image fine-tuning - SedatAl/test-test-3
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against a solid, light blue background. lowpoly
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output:
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url: images/example_phg3i6aii.png
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- text: >-
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top down isometric tower defense mobile game extremely simplistic. from
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above. tiny Level one Lone tower of a badly constructed post-apocalyptic
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human settlement tower after AI apocalypse. isolated, plain background
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output:
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url: images/example_zaedztur7.png
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---
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# LoRA text2image fine-tuning - SedatAl/test-test-3
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images/example_zaedztur7.png
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