Instructions to use sonangroup/HaveallSDXL_Style_Transfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sonangroup/HaveallSDXL_Style_Transfer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sonangroup/HaveallSDXL_Style_Transfer", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload HaveallSDXLStyleTransfer.png
Browse files- .gitattributes +1 -0
- HaveallSDXLStyleTransfer.png +3 -0
.gitattributes
CHANGED
|
@@ -1,2 +1,3 @@
|
|
| 1 |
clip_vision/CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 2 |
clip_vision/ipadapter_image_encoder.safetensors filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 1 |
clip_vision/CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 2 |
clip_vision/ipadapter_image_encoder.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
HaveallSDXLStyleTransfer.png filter=lfs diff=lfs merge=lfs -text
|
HaveallSDXLStyleTransfer.png
ADDED
|
Git LFS Details
|