Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/three-delicacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/three-delicacy 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/three-delicacy", 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/pytorch_model.bin from stablediffusionapi/three-delicacy: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/stablediffusionapi/three-delicacy/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/three-delicacy/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/three-delicacy/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 04cd8cb6b88f853bfd7cb8e500f64105116b9493896ddbdeb55139e65e1025e7
- Size of remote file:
- 492 MB
- SHA256:
- f57e498266d7783080cabd069c12150c2492eba3cab0dd73e4d8562f3fb31383
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