Instructions to use Motas/SXZ_Amadmir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Motas/SXZ_Amadmir 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Motas/SXZ_Amadmir") prompt = "amadmir style, stylized illustration, elf woman with dark purple skin and glowing cyan eyes, she have long blue hair, she wearing white dress with silver ornaments and head wreath made of leaves <lora:sxz-Amadmir-Flux:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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