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 orgasm-wan-22.png
Browse files- .gitattributes +1 -0
- orgasm-wan-22.png +3 -0
.gitattributes
CHANGED
|
@@ -43,3 +43,4 @@ ral-decoznow-sdxl.png filter=lfs diff=lfs merge=lfs -text
|
|
| 43 |
ral-vlntxplzn-sdxl.png filter=lfs diff=lfs merge=lfs -text
|
| 44 |
Wan2.1_T2V_14B_FusionX_LoRA.png filter=lfs diff=lfs merge=lfs -text
|
| 45 |
P002-The-Walking-Back-i2v-v30-000010_converted.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 43 |
ral-vlntxplzn-sdxl.png filter=lfs diff=lfs merge=lfs -text
|
| 44 |
Wan2.1_T2V_14B_FusionX_LoRA.png filter=lfs diff=lfs merge=lfs -text
|
| 45 |
P002-The-Walking-Back-i2v-v30-000010_converted.png filter=lfs diff=lfs merge=lfs -text
|
| 46 |
+
orgasm-wan-22.png filter=lfs diff=lfs merge=lfs -text
|
orgasm-wan-22.png
ADDED
|
Git LFS Details
|