Instructions to use kimi000/soft-horizon-53 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kimi000/soft-horizon-53 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kimi000/soft-horizon-53", 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
| { | |
| "max_shard_bytes": 998896376, | |
| "safetensor_files": 23, | |
| "smoke_size": [ | |
| 512, | |
| 512 | |
| ], | |
| "text_encoder_shards": 9, | |
| "transformer_shards": 13 | |
| } | |