Instructions to use UmeAiRT/ComfyUI-Auto-Installer-Assets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UmeAiRT/ComfyUI-Auto-Installer-Assets with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UmeAiRT/ComfyUI-Auto-Installer-Assets", 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 Wan2.2-Fun-A14B-InP_LowNoise-Q6_K.gguf
Browse files
.gitattributes
CHANGED
|
@@ -184,3 +184,4 @@ models/unet/WAN/Wan2.2-Fun-A14B-InP_LowNoise-Q8_0.gguf filter=lfs diff=lfs merge
|
|
| 184 |
models/unet/WAN/Wan2.2-Fun-A14B-InP_LowNoise-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
| 185 |
models/unet/WAN/Wan2.2-Fun-A14B-InP_LowNoise-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
| 186 |
models/unet/WAN/Wan2.2-Fun-A14B-InP_LowNoise-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 184 |
models/unet/WAN/Wan2.2-Fun-A14B-InP_LowNoise-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
| 185 |
models/unet/WAN/Wan2.2-Fun-A14B-InP_LowNoise-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
| 186 |
models/unet/WAN/Wan2.2-Fun-A14B-InP_LowNoise-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
|
| 187 |
+
models/unet/WAN/Wan2.2-Fun-A14B-InP_LowNoise-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
|
models/unet/WAN/Wan2.2-Fun-A14B-InP_LowNoise-Q6_K.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:28b1e179f5237549c5eab03ab0e460879298e76480570c0ce40a5e92a8209468
|
| 3 |
+
size 12013492864
|