Instructions to use smileycutie0/artsytistic-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use smileycutie0/artsytistic-diffusion 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("smileycutie0/artsytistic-diffusion") prompt = "artsytistic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("smileycutie0/artsytistic-diffusion")
prompt = "artsytistic"
image = pipe(prompt).images[0]Artsytistic Diffusion
Artsytistic Diffusion is a finetuned Stable Diffusion v1.5 model. Artsytistic Diffusion generates artistic images from a text prompt.
Trigger word: artsytistic
Demo
Try the demo here!
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Model tree for smileycutie0/artsytistic-diffusion
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5
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