Text-to-Image
Diffusers
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/leosams-helloworld-v32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/leosams-helloworld-v32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/leosams-helloworld-v32", 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 unet/diffusion_pytorch_model.bin from stablediffusionapi/leosams-helloworld-v32: direct link, hf CLI and curl.
- Browser
- Download file 5.14 GB
-
https://huggingface.co/stablediffusionapi/leosams-helloworld-v32/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/leosams-helloworld-v32/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/leosams-helloworld-v32/resolve/main/unet/diffusion_pytorch_model.bin
5.14 GB
- Xet hash:
- 74b6aa81bb52f143cf81a5c1fc1b2122b562394383af5f434bd06abd1f308833
- Size of remote file:
- 5.14 GB
- SHA256:
- b53e295c62b7c9973f0a3b7bd971e2af2d6879b0b2a3eea226537cb8472f2b39
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