Instructions to use SkyworkAIGC/SkyPaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SkyworkAIGC/SkyPaint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SkyworkAIGC/SkyPaint", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
unidt_test
#3
by HaowenJia - opened
No description provided.
from diffusers import StableDiffusionPipeline
device = 'cuda'
pipe = StableDiffusionPipeline.from_pretrained("path_to_our_model").to(device)
prompts = [
'机械狗',
'城堡 大海 夕阳 宫崎骏动画',
'花落知多少',
'鸡你太美',
]
#zhang
#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
for prompt in prompts:
prompt = 'sai-v1 art, ' + prompt
image = pipe(prompt).images[0]
image.save("%s.jpg" % prompt)