Instructions to use greyDonald/HumanAwareDesignGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use greyDonald/HumanAwareDesignGeneration with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("greyDonald/HumanAwareDesignGeneration", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Reuse checksummed upstream model resources (9/17)
Browse files
pose_diffusion/ip_adapter/image_encoder_h2/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:036e6e2bd49697511f4f8b8cb5ee465f93025f7a69a145eadeb9a881ace9b18d
|
| 3 |
+
size 3944552236
|
pose_diffusion/ip_adapter/ip-adapter_sdxl_vit-h.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ebf05d918348aec7abb02a5e9ecef77e0aaea6914a5c4ea13f50d45eb1681831
|
| 3 |
+
size 698391064
|
pose_diffusion/layerdiffuse/diffuser_layer_xl_transparent_attn.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2626f9aa142f260c12336af754e6003661fbd75c467ecb3906f94783cc2b1b42
|
| 3 |
+
size 743345968
|
pose_diffusion/layerdiffuse/vae_transparent_decoder.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:59dc8feefe40d26b6cb7186aed7af70c60d94ac4f9db8ebe7f121a01ba27a2fc
|
| 3 |
+
size 208266320
|