Instructions to use stablediffusionapi/realhotspice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/realhotspice 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/realhotspice", 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:
- ae892c1fc309b16dc5cac33d0585958af5a86ee9b92621c1d0b5abc6694ef87f
- Size of remote file:
- 167 MB
- SHA256:
- efc2043ad72d28fd57587527ef8658c59e4da4d21ea7b81f0dcf0b0a58bdfeae
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