Instructions to use wkplhc/3dRender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wkplhc/3dRender 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("wkplhc/3dRender") prompt = "kbgc" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files
3due5.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:84964cbe80ae3b3ff7c3c90f536b041615828b6288196b2646bae37a2bc406b8
|
| 3 |
+
size 39770752
|
images/3due5_004800_00_20241124174142-Copy1.png
ADDED
|
Git LFS Details
|