Text-to-Image
Diffusers
ONNX
Safetensors
OpenVINO
English
StableDiffusionPipeline
art
anime
stable diffusion
lcm
latent consistency model
Instructions to use Disty0/LCM_SoteMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/LCM_SoteMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/LCM_SoteMix", 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
- Xet hash:
- 471a4b624cdc99c53bb55ba1dfee13081fe033a827ae334f8970bf7d828b5614
- Size of remote file:
- 3.44 GB
- SHA256:
- 63b6e38716a962173ea0a0a292e2355722200525341915c2a9095aaa6bf0dd69
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