Instructions to use JCTN/JCTN_LORAxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JCTN/JCTN_LORAxl 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JCTN/JCTN_LORAxl") prompt = " boogers, free tissue inside" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload 4 files
Browse files
CharcoalDarkStyleXL.jpeg
ADDED
|
CharcoalDarkStyleXL.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5bc04b81adaaecc11df63a0932c5a4e7bf7d104d212b2640e9c50a3fd5199b14
|
| 3 |
+
size 170541876
|
SDXL_Inkdrawing_Directors_Cut_E.jpeg
ADDED
|
SDXL_Inkdrawing_Directors_Cut_E.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c13e0d713089bbd4b4460eb463db3eaafc0d7d23927be7198d33d6472d1008db
|
| 3 |
+
size 114442844
|