Instructions to use maharnab/Flux-Collage-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maharnab/Flux-Collage-LoRA 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("maharnab/Flux-Collage-LoRA") prompt = "a collage of a dog on a piece of paper. The dog is painted in a realistic style, with its fur and features clearly visible." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload 3.png
Browse files- .gitattributes +1 -0
- images/3.png +3 -0
.gitattributes
CHANGED
|
@@ -37,3 +37,4 @@ images/example_rwkp94yd6.png filter=lfs diff=lfs merge=lfs -text
|
|
| 37 |
images/2.jpeg filter=lfs diff=lfs merge=lfs -text
|
| 38 |
images/1.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
images/2.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 37 |
images/2.jpeg filter=lfs diff=lfs merge=lfs -text
|
| 38 |
images/1.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
images/2.png filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
images/3.png filter=lfs diff=lfs merge=lfs -text
|
images/3.png
ADDED
|
Git LFS Details
|