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]Model Card for Model ID
Seed: 77
| Anime reference | SD3.5 "anime kusanagi" | SD3.5 "anime ohwx kusanagi" | Finetuned SD3.5 "anime ohwx kusanagi" |
|---|---|---|---|
 |
 |
 |
|
Seed: 42
| Anime reference | SD3.5 "anime kusanagi" | SD3.5 "anime ohwx kusanagi" | Finetuned SD3.5 "anime ohwx kusanagi" |
|---|---|---|---|
|
 |
 |
 |
Model Details
Model Description
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: Xrenya
- Model type:
stabilityai/stable-diffusion-3-medium - License:
stabilityai/stable-diffusion-3-medium - Finetuned from model: The Ghost in the Shell 2026 Anime
- Prompt: "anime ohwx kusanagi"
- Baseline prompt: "anime kusanagi"
Model Sources
- Repository: Xrenya/stable_diffusion
The LoRA weights are provided in the repo, please download the official SD3.5 model and add lora config and weights in order to use the finetuned model on Motoko Kusanagi in anime "The Ghost In The Shell" 2026.
- Downloads last month
- -
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support