Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/pmaster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/pmaster 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/pmaster", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model-00002-of-00002.safetensors from stablediffusionapi/pmaster: direct link, hf CLI and curl.
- Browser
- Download file 282 MB
-
https://huggingface.co/stablediffusionapi/pmaster/resolve/main/unet/diffusion_pytorch_model-00002-of-00002.safetensors
- Command line
-
hf download hf://stablediffusionapi/pmaster/unet/diffusion_pytorch_model-00002-of-00002.safetensors
-
curl -L -o diffusion_pytorch_model-00002-of-00002.safetensors https://huggingface.co/stablediffusionapi/pmaster/resolve/main/unet/diffusion_pytorch_model-00002-of-00002.safetensors
282 MB
- Xet hash:
- a0edbf4701ed665600f7f156d5e05b3d6849b60053100c6a1fd165c5f326a945
- Size of remote file:
- 282 MB
- SHA256:
- adde1acd8cf71799d1c6ec5f0ea57ac5779790b043d6d0f2bef74a7e4edc3169
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