Instructions to use umikaze/daybreakdiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use umikaze/daybreakdiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("umikaze/daybreakdiffusion", 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
UmiseMixV3.safetensors
Browse files- UmiseMixV3.safetensors +0 -3
UmiseMixV3.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:eed9ec895f7a4659fe8a973e38bbcef817b74c215041ac52342001622ba70c7a
|
| 3 |
-
size 9352950583
|
|
|
|
|
|
|
|
|
|
|
|