Text-to-Image
Diffusers
OpenVINO
StableDiffusionPipeline
int4
optimum
optimum-intel
nncf
lcm
anime
sd1.5
cpu
Instructions to use HelloSun/animemixv10_lcm-OpenVINO-INT4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HelloSun/animemixv10_lcm-OpenVINO-INT4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HelloSun/animemixv10_lcm-OpenVINO-INT4", 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
Download vae_decoder/openvino_model.bin from HelloSun/animemixv10_lcm-OpenVINO-INT4: direct link, hf CLI and curl.
- Browser
- Download file 49.6 MB
-
https://huggingface.co/HelloSun/animemixv10_lcm-OpenVINO-INT4/resolve/main/vae_decoder/openvino_model.bin
- Command line
-
hf download hf://HelloSun/animemixv10_lcm-OpenVINO-INT4/vae_decoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/HelloSun/animemixv10_lcm-OpenVINO-INT4/resolve/main/vae_decoder/openvino_model.bin
49.6 MB
- Xet hash:
- 1766902ea61d29c01a944e6f7de48d1dc28eb4a33e6ebbd029902624944ae2a9
- Size of remote file:
- 49.6 MB
- SHA256:
- 2cc51f2d9d3b2fc1ec9a7f89f769ba204b153977c521396471e0cb149cdab2c2
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