Instructions to use hf-internal-testing/tiny-sdxl-custom-components with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-sdxl-custom-components with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-sdxl-custom-components", 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
Commit ·
61ba2f1
1
Parent(s): 8ae0dea
Update scheduler/my_scheduler.py
Browse files
scheduler/my_scheduler.py
CHANGED
|
@@ -24,7 +24,7 @@ import torch
|
|
| 24 |
from diffusers.configuration_utils import ConfigMixin, register_to_config
|
| 25 |
from diffusers.utils import BaseOutput
|
| 26 |
from diffusers.utils.torch_utils import randn_tensor
|
| 27 |
-
from diffusers.scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin
|
| 28 |
|
| 29 |
|
| 30 |
@dataclass
|
|
|
|
| 24 |
from diffusers.configuration_utils import ConfigMixin, register_to_config
|
| 25 |
from diffusers.utils import BaseOutput
|
| 26 |
from diffusers.utils.torch_utils import randn_tensor
|
| 27 |
+
from diffusers.schedulers.scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin
|
| 28 |
|
| 29 |
|
| 30 |
@dataclass
|