Instructions to use neph1/framepack-camera-controls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neph1/framepack-camera-controls with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("neph1/framepack-camera-controls", 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -4,4 +4,5 @@ base_model:
|
|
| 4 |
---
|
| 5 |
Loras mentioned in this article: https://huggingface.co/blog/neph1/framepack-camera-control-loras
|
| 6 |
|
| 7 |
-
Trigger word for each is "cam_control". Will update with training prompt
|
|
|
|
|
|
| 4 |
---
|
| 5 |
Loras mentioned in this article: https://huggingface.co/blog/neph1/framepack-camera-control-loras
|
| 6 |
|
| 7 |
+
Trigger word for each is "cam_control". Will update with training prompt.
|
| 8 |
+
If the training video bleeds through (like a grey cube appearing in the generation), lower the strength. Between 0.5 and 1.0
|