Instructions to use FastVideo/Waypoint-1-Small-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/Waypoint-1-Small-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/Waypoint-1-Small-Diffusers", 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
Upload text_encoder/pytorch_model-00001-of-00002.bin with huggingface_hub
Browse files
.gitattributes
CHANGED
|
@@ -1,2 +1,3 @@
|
|
| 1 |
transformer/diffusion_pytorch_model.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 2 |
vae/diffusion_pytorch_model.safetensors filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 1 |
transformer/diffusion_pytorch_model.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 2 |
vae/diffusion_pytorch_model.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
text_encoder/pytorch_model-00001-of-00002.bin filter=lfs diff=lfs merge=lfs -text
|
text_encoder/pytorch_model-00001-of-00002.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a9ea1b2103fd84477ba698554a9b14b79d69d98968c2c3b696a7bebd832c9d17
|
| 3 |
+
size 9986608422
|