Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Base Model
Film
Portraits
LEOSAM
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/LEOSAMsFilmGirlUltra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/LEOSAMsFilmGirlUltra with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/LEOSAMsFilmGirlUltra", 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 Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -33,4 +33,4 @@ Bottom right: analog 1990 movie screenshot film grain portrait, Santa Claus sitt
|
|
| 33 |
|
| 34 |
Original page: https://civitai.com/models/33208/leosams-filmgirl-ultra
|
| 35 |
|
| 36 |
-
DPM++ 512x512 version: sam749/LEOSAM-s-ilmGirl-ltra-Ultra-ase-odel
|
|
|
|
| 33 |
|
| 34 |
Original page: https://civitai.com/models/33208/leosams-filmgirl-ultra
|
| 35 |
|
| 36 |
+
DPM++ 512x512 version: https://huggingface.co/sam749/LEOSAM-s-ilmGirl-ltra-Ultra-ase-odel
|