Instructions to use 8BitStudio/Aniimage-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8BitStudio/Aniimage-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("8BitStudio/Aniimage-1", 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
|
@@ -16,7 +16,7 @@ language:
|
|
| 16 |
# Aniimage-1
|
| 17 |
|
| 18 |
Aniimage-1 is the first latent diffusion model developed by 8BitStudio.
|
| 19 |
-
The model is a 256x256 anime image generation model trained from scratch using a UNet + VAE + CLIP architecture at
|
| 20 |
Aniimage-1 has been trained on 830,001 anime images from [Danbooru](https://danbooru.donmai.us/). It is not based on any existing models, the UNet is trained from scratch.
|
| 21 |
|
| 22 |
## Model Details
|
|
@@ -25,7 +25,7 @@ Aniimage-1 has been trained on 830,001 anime images from [Danbooru](https://danb
|
|
| 25 |
|---|---|
|
| 26 |
| **Resolution** | 256×256 |
|
| 27 |
| **Architecture** | Latent Diffusion (UNet + VAE + CLIP) |
|
| 28 |
-
| **Parameters** |
|
| 29 |
| **Training Steps** | 88,000 |
|
| 30 |
| **Batch Size** | 64 |
|
| 31 |
| **Dataset** | ~830K curated anime images from Danbooru |
|
|
|
|
| 16 |
# Aniimage-1
|
| 17 |
|
| 18 |
Aniimage-1 is the first latent diffusion model developed by 8BitStudio.
|
| 19 |
+
The model is a 256x256 anime image generation model trained from scratch using a UNet + VAE + CLIP architecture at 449.1 million parameters.
|
| 20 |
Aniimage-1 has been trained on 830,001 anime images from [Danbooru](https://danbooru.donmai.us/). It is not based on any existing models, the UNet is trained from scratch.
|
| 21 |
|
| 22 |
## Model Details
|
|
|
|
| 25 |
|---|---|
|
| 26 |
| **Resolution** | 256×256 |
|
| 27 |
| **Architecture** | Latent Diffusion (UNet + VAE + CLIP) |
|
| 28 |
+
| **Parameters** | 441.9M |
|
| 29 |
| **Training Steps** | 88,000 |
|
| 30 |
| **Batch Size** | 64 |
|
| 31 |
| **Dataset** | ~830K curated anime images from Danbooru |
|