Instructions to use obann001/ema_kanna_nishitani_sdxl_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use obann001/ema_kanna_nishitani_sdxl_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("SG161222/RealVisXL_V4.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("obann001/ema_kanna_nishitani_sdxl_lora") prompt = "white hair woman trapper with intricate cybernetic pupils on her eyes with a mischievous smile with small teeth, crouching, wearing red top, long (black leather coat xl), long orange skirt up between bare legs, tattoed forearms, black punk's boots, bare fore-arm, marginal, nature, ((ema_kanna_nishitani)), sexy orange panties, cameltoe" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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base_model:
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pipeline_tag: text-to-image
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instance_prompt: ema_kanna_nishitani
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widget:
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pipeline_tag: text-to-image
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instance_prompt: ema_kanna_nishitani
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widget:
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