Instructions to use haor/Evt_V4-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use haor/Evt_V4-preview with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("haor/Evt_V4-preview", 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
|
@@ -8,11 +8,6 @@ tags:
|
|
| 8 |
- text-to-image
|
| 9 |
- diffusers
|
| 10 |
inference: true
|
| 11 |
-
widget:
|
| 12 |
-
- text: "masterpiece, best quality, 1girl, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden"
|
| 13 |
-
example_title: "example 1girl"
|
| 14 |
-
- text: "masterpiece, best quality, 1boy, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden"
|
| 15 |
-
example_title: "example 1boy"
|
| 16 |
---
|
| 17 |
# Evt_V4-preview
|
| 18 |
EVT series is an experimental project for finetune with large datasets on animation style model.
|
|
|
|
| 8 |
- text-to-image
|
| 9 |
- diffusers
|
| 10 |
inference: true
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
---
|
| 12 |
# Evt_V4-preview
|
| 13 |
EVT series is an experimental project for finetune with large datasets on animation style model.
|