Instructions to use kimi000/misty-harbor-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kimi000/misty-harbor-64 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/misty-harbor-64", 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
| { | |
| "checkpoint_top_keys": [ | |
| "ema", | |
| "global_step", | |
| "model_state_dict_g", | |
| "world_size" | |
| ], | |
| "ema_keys": 1003, | |
| "global_step": 500, | |
| "offline_reload": true, | |
| "smoke_cfg": 4.0, | |
| "smoke_image_delta_from_base": { | |
| "changed_channel_values": 738072, | |
| "max_abs_channel_delta": 250, | |
| "mean_abs_channel_delta": 9.250560760498047 | |
| }, | |
| "smoke_image_size": [ | |
| 512, | |
| 512 | |
| ], | |
| "smoke_seed": 0, | |
| "smoke_steps": 4 | |
| } | |