Instructions to use personal1802/26per with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/26per with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("personal1802/26per") prompt = "1milf, simple background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
5a+5cg.fp16x0.5+kakarot28DCozy_cozyx0.5.fp16x0.3+kakarot28D_v17x0.7.fp16.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ea404e5e9073316bbe6accf916f054d61e13fdd3dbed333a01c32c036bf5f35
|
| 3 |
+
size 2400041390
|
images/00204-20231123_020820_950303.png
ADDED
|
Git LFS Details
|