Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
art
artistic
anime
dreamshaper
lcm
Lykon
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/AnyLoRa-768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/AnyLoRa-768 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/AnyLoRa-768", dtype=torch.bfloat16, device_map="cuda") 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -22,7 +22,9 @@ pipeline_tag: text-to-image
|
|
| 22 |
|
| 23 |
Please consider supporting the author:
|
| 24 |
- on [Patreon](https://www.patreon.com/Lykon275)
|
| 25 |
-
- or [buy
|
|
|
|
|
|
|
| 26 |
|
| 27 |

|
| 28 |
|
|
|
|
| 22 |
|
| 23 |
Please consider supporting the author:
|
| 24 |
- on [Patreon](https://www.patreon.com/Lykon275)
|
| 25 |
+
- or [buy Lykon a coffee](https://snipfeed.co/lykon)
|
| 26 |
+
|
| 27 |
+
(Samples and prompts):
|
| 28 |
|
| 29 |

|
| 30 |
|