Instructions to use Saad381/Spectra-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Saad381/Spectra-V1 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("Saad381/Spectra-V1") prompt = "A cyberpunk car" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#4
by Saad381 - opened
- README.md +3 -0
- images/example_vk1po3x8y.png +0 -0
README.md
CHANGED
|
@@ -12,6 +12,9 @@ widget:
|
|
| 12 |
- text: A cyberpunk car
|
| 13 |
output:
|
| 14 |
url: images/example_zkqx9zmy2.png
|
|
|
|
|
|
|
|
|
|
| 15 |
|
| 16 |
---
|
| 17 |
|
|
|
|
| 12 |
- text: A cyberpunk car
|
| 13 |
output:
|
| 14 |
url: images/example_zkqx9zmy2.png
|
| 15 |
+
- text: A boy in anime
|
| 16 |
+
output:
|
| 17 |
+
url: images/example_vk1po3x8y.png
|
| 18 |
|
| 19 |
---
|
| 20 |
|
images/example_vk1po3x8y.png
ADDED
|