Instructions to use TheLastBen/Filmic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheLastBen/Filmic 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("TheLastBen/Filmic") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -26,17 +26,21 @@ Trained using https://github.com/TheLastBen/fast-stable-diffusion SDXL trainer.
|
|
| 26 |
|
| 27 |
#### Sample pictures:
|
| 28 |
|
| 29 |
-
.webp)
|
| 30 |
+
.webp)
|
| 31 |
+
.webp)
|
| 32 |
+
.webp)
|
| 33 |
+
.webp)
|
| 34 |
+
.webp)
|
| 35 |
+
.webp)
|
| 36 |
+
.webp)
|
| 37 |
+
.webp)
|
| 38 |
+
.webp)
|
| 39 |
+
.webp)
|
| 40 |
+
.webp)
|
| 41 |
+
.webp)
|
| 42 |
+
.webp)
|
| 43 |
+
.webp)
|
| 44 |
+
.webp)
|
| 45 |
+
.webp)
|
| 46 |
+
|