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
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# LoRA text2image fine-tuning - SedatAl/
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These are LoRA adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were fine-tuned on the Loulblemo/diffusion_skyscrapers_city_building dataset.
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# LoRA text2image fine-tuning - SedatAl/skyscraper-lora
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These are LoRA adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were fine-tuned on the Loulblemo/diffusion_skyscrapers_city_building dataset.
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