Instructions to use CapGo/duncify_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CapGo/duncify_test 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("CapGo/duncify_test") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Delete pytorch_lora_weights_1800.safetensors
Browse files
pytorch_lora_weights_1800.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:b3667d20faf95d5736592a8efdea57823709770423dd8e564024c60ba6987fc7
|
| 3 |
-
size 37406344
|
|
|
|
|
|
|
|
|
|
|
|