Instructions to use deepgoyal19/lora5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deepgoyal19/lora5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("deepgoyal19/mysd1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("deepgoyal19/lora5") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Commit ·
357de46
1
Parent(s): 1c47b49
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
|
| 2 |
---
|
| 3 |
license: creativeml-openrail-m
|
| 4 |
-
base_model:
|
| 5 |
tags:
|
| 6 |
- stable-diffusion
|
| 7 |
- stable-diffusion-diffusers
|
|
|
|
| 1 |
|
| 2 |
---
|
| 3 |
license: creativeml-openrail-m
|
| 4 |
+
base_model: deepgoyal19/mysd1
|
| 5 |
tags:
|
| 6 |
- stable-diffusion
|
| 7 |
- stable-diffusion-diffusers
|