Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use adiktus9116/autotrain-o7bin-9bvhq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use adiktus9116/autotrain-o7bin-9bvhq with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("adiktus9116/autotrain-o7bin-9bvhq") prompt = "persik" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-100
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- checkpoint-1300
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- 1.52 kB
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- 6 Bytes
- 23.4 MB xet
- 23.5 MB xet
- 1.39 kB