Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use jefsnacker/azzy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jefsnacker/azzy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jefsnacker/azzy", dtype=torch.bfloat16, device_map="cuda") prompt = "portrait of azzy cat anthro as a dapper bartender with a big, fluffy tail, retro futurism, art deco, detailed, painterly digital art by wlop and cory loftis and delphin enjolras, ๐ฟ๐ธ๐, furaffinity, trending on artstation" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ยท
a28f83e
1
Parent(s): 9a11185
Update README.md
Browse files
README.md
CHANGED
|
@@ -56,7 +56,7 @@ pipe = StableDiffusionPipeline.from_pretrained(
|
|
| 56 |
).to("cuda")
|
| 57 |
|
| 58 |
guidance_scale = 7
|
| 59 |
-
prompt = "Cute and adorable cartoon fluffy azzy cat with cap, with yellow eyes, fantasy, dreamlike, city scenario, surrealism, super cute, trending on artstation"
|
| 60 |
|
| 61 |
images = pipe(prompt, num_images_per_prompt=1, num_inference_steps=50, guidance_scale=guidance_scale).images
|
| 62 |
image[0]
|
|
|
|
| 56 |
).to("cuda")
|
| 57 |
|
| 58 |
guidance_scale = 7
|
| 59 |
+
prompt = "Cute and adorable cartoon fluffy azzy cat with cap, with yellow eyes, fantasy, dreamlike, city scenario, surrealism, super cute, trending on artstation"
|
| 60 |
|
| 61 |
images = pipe(prompt, num_images_per_prompt=1, num_inference_steps=50, guidance_scale=guidance_scale).images
|
| 62 |
image[0]
|