Instructions to use Xrenya/TheGhostInTheShellSD3.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Xrenya/TheGhostInTheShellSD3.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Xrenya/TheGhostInTheShellSD3.5", 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -51,4 +51,6 @@ This is the model card of a 🧨 diffusers model that has been pushed on the Hub
|
|
| 51 |
- **License:** `stabilityai/stable-diffusion-3-medium`
|
| 52 |
- **Finetuned from model:** The Ghost in the Shell 2026 Anime
|
| 53 |
- **Prompt:** "anime ohwx kusanagi"
|
| 54 |
-
- **Baseline prompt:** "anime kusanagi"
|
|
|
|
|
|
|
|
|
| 51 |
- **License:** `stabilityai/stable-diffusion-3-medium`
|
| 52 |
- **Finetuned from model:** The Ghost in the Shell 2026 Anime
|
| 53 |
- **Prompt:** "anime ohwx kusanagi"
|
| 54 |
+
- **Baseline prompt:** "anime kusanagi"
|
| 55 |
+
|
| 56 |
+
The LoRA weights are provide in the repo, please download the official SD3.5 and add lora config and weights to use the model.
|