Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/ponydiffusionv6xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/ponydiffusionv6xl 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/ponydiffusionv6xl", 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
- Draw Things
- DiffusionBee
- Xet hash:
- c0414cb092232930f6b7b45eb596fde5af5654ccaf2a861e61f3139a6d473243
- Size of remote file:
- 1.39 GB
- SHA256:
- 430b1997dfeb35634e430f6f3f7ffd1ef60efe5a31e83ae51f823cada2e42996
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