Instructions to use perilli/OCS_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use perilli/OCS_Models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("perilli/OCS_Models", 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 Generation/Image/Qwen-based/Qwen Image Edit [BF16].safetensors
Browse files
Generation/Image/Qwen-based/Qwen Image Edit [BF16].safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:f133f246ba14ba2a24e1a9df64fe4da35281e684b467c992059429bfb6187625
|
| 3 |
-
size 40861031488
|
|
|
|
|
|
|
|
|
|
|
|