Instructions to use leemonz/RoChar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leemonz/RoChar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/wai-ani-hentai-pony-v3-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("leemonz/RoChar") prompt = "UNICODE\u0000\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000n\u0000u\u0000d\u0000e\u0000,\u0000 \u0000F\u0000e\u0000m\u0000i\u0000n\u0000i\u0000n\u0000e\u0000,\u0000 \u0000m\u0000u\u0000l\u0000t\u0000i\u0000p\u0000l\u0000e\u0000 \u0000v\u0000i\u0000e\u0000w\u0000s\u0000,\u0000 \u0000f\u0000r\u0000o\u0000n\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000 \u0000a\u0000n\u0000d\u0000 \u0000b\u0000a\u0000c\u0000k\u0000 \u0000v\u0000i\u0000e\u0000w\u0000,\u0000 \u0000p\u0000e\u0000r\u0000s\u0000i\u0000s\u0000t\u0000e\u0000n\u0000t\u0000 \u0000c\u0000h\u0000a\u0000r\u0000a\u0000c\u0000t\u0000e\u0000r\u0000 \u0000s\u0000p\u0000r\u0000i\u0000t\u0000e\u0000 \u0000s\u0000h\u0000e\u0000e\u0000t\u0000 \u0000,\u0000 \u0000v\u0000i\u0000s\u0000i\u0000b\u0000l\u0000e\u0000 \u0000s\u0000k\u0000i\u0000n\u0000,\u0000 \u0000v\u0000e\u0000r\u0000y\u0000 \u0000e\u0000x\u0000a\u0000g\u0000g\u0000e\u0000r\u0000a\u0000t\u0000e\u0000d\u0000 \u0000b\u0000o\u0000d\u0000y\u0000 \u0000p\u0000r\u0000o\u0000p\u0000o\u0000r\u0000t\u0000i\u0000o\u0000n\u0000,\u0000 \u0000R\u0000a\u0000g\u0000n\u0000a\u0000r\u0000o\u0000k\u0000 \u0000o\u0000n\u0000l\u0000i\u0000n\u0000e\u0000 \u0000A\u0000r\u0000t\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000 \u0000v\u0000i\u0000v\u0000i\u0000d\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000,\u0000 \u0000r\u0000o\u0000c\u0000h\u0000a\u0000r\u0000,\u0000 \u0000p\u0000i\u0000x\u0000e\u0000l\u0000 \u0000a\u0000r\u0000t\u0000,\u0000 \u0000e\u0000n\u0000o\u0000r\u0000m\u0000o\u0000u\u0000s\u0000 \u0000r\u0000o\u0000u\u0000n\u0000d\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000p\u0000e\u0000r\u0000f\u0000e\u0000c\u0000t\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000 \u0000p\u0000i\u0000x\u0000e\u0000l\u0000 \u0000a\u0000r\u0000t\u0000,\u0000 \u0000d\u0000i\u0000t\u0000h\u0000e\u0000r\u0000i\u0000n\u0000g\u0000 \u0000,\u0000 \u0000p\u0000i\u0000x\u0000e\u0000l\u0000 \u0000s\u0000h\u0000a\u0000d\u0000e\u0000r\u0000,\u0000 \u0000p\u0000e\u0000r\u0000f\u0000e\u0000c\u0000t\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000 \u0000b\u0000o\u0000d\u0000y\u0000 \u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 4 files
Browse files
PixRoCharXL-27.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ce372ad9aeba9f59f601fd2e37e38f3438a0b6962d8fd402a1a91decba8869e0
|
| 3 |
+
size 119762176
|
images/6BEN19NPS4YV5NN7JSWE2NPSH0.jpeg
ADDED
|
Git LFS Details
|
images/9XA3P332G2ZEB0QC9Y7XQTZ7R0.jpeg
ADDED
|
Git LFS Details
|
images/TD2DTK77AZFZHZDX3DEYSDWK10.jpeg
ADDED
|
Git LFS Details
|