Instructions to use MWSAH/sdmodels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MWSAH/sdmodels with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MWSAH/sdmodels", 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
Delete casper.safetensors
Browse files- casper.safetensors +0 -3
casper.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:0c660410a27d157c0baabcba336234f5df94e62dd465d4ca7f6adb4da8717631
|
| 3 |
-
size 171969384
|
|
|
|
|
|
|
|
|
|
|
|