Instructions to use ShowDanilsh/Lustly-Max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShowDanilsh/Lustly-Max 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ShowDanilsh/Lustly-Max") prompt = "Lizard on sand and rocks" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
Browse filesGenerated example for model ShowDanilsh/Lustly-Max.
Prompt: Lizard on sand and rocks
- README.md +7 -4
- images/example_uq9aa8nkf.png +3 -0
README.md
CHANGED
|
@@ -1,13 +1,16 @@
|
|
| 1 |
---
|
| 2 |
tags:
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
widget:
|
| 8 |
- text: Lizard on sand and rocks
|
| 9 |
output:
|
| 10 |
url: images/Радужная_ящерица_на_песчаном_берегу_696761_1024x1024_.jpeg
|
|
|
|
|
|
|
|
|
|
| 11 |
base_model: black-forest-labs/FLUX.1-schnell
|
| 12 |
instance_prompt: null
|
| 13 |
|
|
|
|
| 1 |
---
|
| 2 |
tags:
|
| 3 |
+
- text-to-image
|
| 4 |
+
- lora
|
| 5 |
+
- diffusers
|
| 6 |
+
- template:diffusion-lora
|
| 7 |
widget:
|
| 8 |
- text: Lizard on sand and rocks
|
| 9 |
output:
|
| 10 |
url: images/Радужная_ящерица_на_песчаном_берегу_696761_1024x1024_.jpeg
|
| 11 |
+
- text: Lizard on sand and rocks
|
| 12 |
+
output:
|
| 13 |
+
url: images/example_uq9aa8nkf.png
|
| 14 |
base_model: black-forest-labs/FLUX.1-schnell
|
| 15 |
instance_prompt: null
|
| 16 |
|
images/example_uq9aa8nkf.png
ADDED
|
Git LFS Details
|