Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use acondess/lineartv1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use acondess/lineartv1.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("acondess/lineartv1.1", 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 Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("acondess/lineartv1.1", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]提示词格式:lineart of {obj}
例如:lineart of cat
本模型库是acondess/lineart模型库的完全HUB界面实现的示例。
仅通过HUB界面实现了:模型创建、文件上传及管理、Model card设置。
from diffusers import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained("acondess/lineartv1.1")
prompt = "lineart of cat"
image = pipeline(prompt).images[0]
image.save("lineart_cat.png")
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