Instructions to use smegmarip/ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use smegmarip/ComfyUI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("smegmarip/ComfyUI", 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 loras/Stand-In/Stand-In_wan2.2_T2V_A14B_high.ckpt with huggingface_hub
Browse files
loras/Stand-In/Stand-In_wan2.2_T2V_A14B_high.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0635fe277421a5b33aa31b6c86acc1990ed717f13019666098b0286dea9df038
|
| 3 |
+
size 629225119
|