Text-to-Image
Diffusers
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/void-glyph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/void-glyph 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/void-glyph", 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 text_encoder/model.fp16.safetensors from stablediffusionapi/void-glyph: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/stablediffusionapi/void-glyph/resolve/main/text_encoder/model.fp16.safetensors
- Command line
-
hf download hf://stablediffusionapi/void-glyph/text_encoder/model.fp16.safetensors
-
curl -L -o model.fp16.safetensors https://huggingface.co/stablediffusionapi/void-glyph/resolve/main/text_encoder/model.fp16.safetensors
246 MB
- Xet hash:
- 20578abec7a729d7a36154a12aab7ebb5da8fe9f51c2191057dd178435f435d9
- Size of remote file:
- 246 MB
- SHA256:
- 0cd963e41676c0b90cafd638bad50ce37b3d0cf4203d87fa694d4471640129e2
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