Instructions to use svontzmontgomery/REECH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use svontzmontgomery/REECH with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Phr00t/Qwen-Image-Edit-Rapid-AIO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("svontzmontgomery/REECH") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- images/1000009197.png +3 -0
- mcgravity-main.zip +3 -0
images/1000009197.png
ADDED
|
Git LFS Details
|
mcgravity-main.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c7642ee1aa7bf59b73ffa176f99da1d9cc06627070086477b4f868a9ad0e1c75
|
| 3 |
+
size 227056
|