Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
lineart
vector
simple
style
vector-art
vector art
complex
vector illustration
vector style
Instructions to use DoctorDiffusion/doctor-diffusion-s-controllable-vector-art-xl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DoctorDiffusion/doctor-diffusion-s-controllable-vector-art-xl-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("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DoctorDiffusion/doctor-diffusion-s-controllable-vector-art-xl-lora") prompt = " " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 66f8caa77ea7bea627f07c2151ccc617698b01374614911683dc2b2982ca738f
- Size of remote file:
- 228 MB
- SHA256:
- b4c8132f85ab7d75f5789eaf0054153a6011b505719f1253fb7d8837a498fe89
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