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
- Draw Things
- DiffusionBee
- Xet hash:
- a37d22f99e96ab77c5c095ee0b886270351974e35b539adb641104b54e9989ed
- Size of remote file:
- 335 MB
- SHA256:
- 42cfeb532c74d4fc63900098616da7c250e564021b5591f4a4438cd954c57b92
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