Text-to-Image
Diffusers
StableDiffusionPromptNetPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/profusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/profusion 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/profusion", 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:
- 79782e606a5072e7bb26c922fd78ca42d2c5bedaa634249c7bbe8b992578d32c
- Size of remote file:
- 1.73 GB
- SHA256:
- 34009b21392113e829e498653f739f1ec81244b4a2eaf56f111b0805c9617650
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