Instructions to use JacobLinCool/FLUXd-jacob-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JacobLinCool/FLUXd-jacob-v0.1 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("JacobLinCool/FLUXd-jacob-v0.1") prompt = "Jacob holding a sign that says 'I am Jacob!'" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
Browse filesGenerated example for model JacobLinCool/FLUXd-jacob-v0.1.
Prompt: Jacob standing confidently with arms crossed, wears a complete set of professional suits, photographed by professional photographers and studio lighting
- README.md +6 -0
- images/example_ez37l2sqq.png +0 -0
README.md
CHANGED
|
@@ -50,6 +50,12 @@ widget:
|
|
| 50 |
he calculates the best route.
|
| 51 |
output:
|
| 52 |
url: images/example_kr9m8rpve.png
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 53 |
base_model: black-forest-labs/FLUX.1-dev
|
| 54 |
instance_prompt: Jacob
|
| 55 |
license: other
|
|
|
|
| 50 |
he calculates the best route.
|
| 51 |
output:
|
| 52 |
url: images/example_kr9m8rpve.png
|
| 53 |
+
- text: >-
|
| 54 |
+
Jacob standing confidently with arms crossed, wears a complete set of
|
| 55 |
+
professional suits, photographed by professional photographers and studio
|
| 56 |
+
lighting
|
| 57 |
+
output:
|
| 58 |
+
url: images/example_ez37l2sqq.png
|
| 59 |
base_model: black-forest-labs/FLUX.1-dev
|
| 60 |
instance_prompt: Jacob
|
| 61 |
license: other
|
images/example_ez37l2sqq.png
ADDED
|