Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/ghostmix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/ghostmix 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/ghostmix", 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:
- 459ed1678fd7e1df32fdd65ec7ddd44cc65a304c1f1b6c36dea7339f31494ba5
- Size of remote file:
- 335 MB
- SHA256:
- a8a6dd90482cc24a2c1495492d0bc9dfa3fbe5466c7a129262853e64673471c1
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