Instructions to use hakurei/waifu-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hakurei/waifu-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hakurei/waifu-diffusion", 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
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
#25
by unknownh - opened
README.md
CHANGED
|
@@ -53,7 +53,7 @@ pipe = StableDiffusionPipeline.from_pretrained(
|
|
| 53 |
torch_dtype=torch.float32
|
| 54 |
).to('cuda')
|
| 55 |
|
| 56 |
-
prompt = "1girl, aqua eyes,
|
| 57 |
with autocast("cuda"):
|
| 58 |
image = pipe(prompt, guidance_scale=6)["sample"][0]
|
| 59 |
|
|
|
|
| 53 |
torch_dtype=torch.float32
|
| 54 |
).to('cuda')
|
| 55 |
|
| 56 |
+
prompt = "1girl, aqua eyes, elf ears, cat ears, succubus, salmon pink hair, closed mouth, earrings, nightclub background, stud earrings, cross earring, jewelry, looking at viewer, latex skirt, short hair, nightclub background, solo, fullbody body, latex top"
|
| 57 |
with autocast("cuda"):
|
| 58 |
image = pipe(prompt, guidance_scale=6)["sample"][0]
|
| 59 |
|