Instructions to use Jovie/Retro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jovie/Retro 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("Jovie/Retro") prompt = "a cat in cyborg suit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -35,4 +35,4 @@ You should use `` to trigger the image generation.
|
|
| 35 |
|
| 36 |
Weights for this model are available in Safetensors format.
|
| 37 |
|
| 38 |
-
[Download](/Jovie/
|
|
|
|
| 35 |
|
| 36 |
Weights for this model are available in Safetensors format.
|
| 37 |
|
| 38 |
+
[Download](/Jovie/Retro/tree/main) them in the Files & versions tab.
|