Instructions to use Emuixom/Trasher_Riddick with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Emuixom/Trasher_Riddick 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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Emuixom/Trasher_Riddick") prompt = "intertwined paternal voids form a goat melted into fractals crackeds." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -11,7 +11,7 @@ widget:
|
|
| 11 |
output:
|
| 12 |
url: images/fadfea894bb82a4b3385f13f782c39f5.jpg
|
| 13 |
base_model:
|
| 14 |
-
- black-forest-labs/FLUX.1-
|
| 15 |
instance_prompt: evil
|
| 16 |
---
|
| 17 |
# Trasher
|
|
|
|
| 11 |
output:
|
| 12 |
url: images/fadfea894bb82a4b3385f13f782c39f5.jpg
|
| 13 |
base_model:
|
| 14 |
+
- black-forest-labs/FLUX.1-dev
|
| 15 |
instance_prompt: evil
|
| 16 |
---
|
| 17 |
# Trasher
|