Instructions to use deepgoyal19/mysd2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deepgoyal19/mysd2 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/mysd2") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
cce7d27
1
Parent(s): e9e8f57
Update README.md
Browse files
README.md
CHANGED
|
@@ -2,9 +2,6 @@
|
|
| 2 |
library_name: diffusers
|
| 3 |
base_model: runwayml/stable-diffusion-v1-5
|
| 4 |
tags:
|
| 5 |
-
- stable-diffusion
|
| 6 |
-
- stable-diffusion-diffusers
|
| 7 |
-
- text-to-image
|
| 8 |
- diffusers
|
| 9 |
- lora
|
| 10 |
inference: true
|
|
|
|
| 2 |
library_name: diffusers
|
| 3 |
base_model: runwayml/stable-diffusion-v1-5
|
| 4 |
tags:
|
|
|
|
|
|
|
|
|
|
| 5 |
- diffusers
|
| 6 |
- lora
|
| 7 |
inference: true
|