Instructions to use tera0711/CHECKPOINT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tera0711/CHECKPOINT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tera0711/CHECKPOINT") prompt = "<lora:guiltyficial_reality-01:0.7>, perfect body, ultra realistic, best quality, 8k uhd, masterpiece, asian beautiful woman, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 3 files
Browse files- Stable-diffusion (2).zip +3 -0
- images/image (3).png +3 -0
Stable-diffusion (2).zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c692c7623eeffcb00bf576216ee6055133ee14427fc1787169e25d445fefe716
|
| 3 |
+
size 32233522017
|
images/image (3).png
ADDED
|
Git LFS Details
|