Instructions to use MuhammadHanif/stable-diffusion-v1-5-high-res with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MuhammadHanif/stable-diffusion-v1-5-high-res with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MuhammadHanif/stable-diffusion-v1-5-high-res", 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 text_encoder/flax_model.msgpack from MuhammadHanif/stable-diffusion-v1-5-high-res: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/MuhammadHanif/stable-diffusion-v1-5-high-res/resolve/main/text_encoder/flax_model.msgpack
- Command line
-
hf download hf://MuhammadHanif/stable-diffusion-v1-5-high-res/text_encoder/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/MuhammadHanif/stable-diffusion-v1-5-high-res/resolve/main/text_encoder/flax_model.msgpack
492 MB
- Xet hash:
- 42bdca2ad15fe49ebaa690b9e066709b17c58206b33f63346b07ef6506252bc8
- Size of remote file:
- 492 MB
- SHA256:
- 2c01023e8188bc3cc6f24a23f53392e293355226c68ccdd7e034bfb37348504d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.