Instructions to use SpiderSteeped/sloppy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SpiderSteeped/sloppy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SpiderSteeped/sloppy") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
images/df0r49l-64c260ee-ab76-4e62-8131-8e8cbcd5b9a8.png
ADDED
|
Git LFS Details
|
slptp-blowjob-lora.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7beb4ab869ee7a4f4f6bba9d9b3ab62ceb2e842ebb52be09bd860598969d5db4
|
| 3 |
+
size 171969416
|