Instructions to use zac/anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zac/anime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("misri/sdxlYamersAnime_stageAnima", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zac/anime") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
fca style-flat_color_anime_xl_v2.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de4c7c9b71e8211004c2641a6fbaf13d9633c9aea53f397ae385fd282fe4b402
|
| 3 |
+
size 912563724
|
images/animeForge (2).png
ADDED
|
Git LFS Details
|