Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
doraemon
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("phanthang/DreamBooth_Doraemon", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]DreamBooth Doraemon Model
This is a DreamBooth model trained on Doraemon images.
Usage
from diffusers import StableDiffusionPipeline
import torch
model_id = "your-username/DreamBooth_Doraemon_0617"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "a photo of doraemon in the park"
image = pipe(prompt).images[0]
image.save("doraemon.png")
Training Info
- Trained on: Doraemon
- Date: 2026-03-11 (or 06-17 based on folder name)
- Base Model: Stable Diffusion v1.5 (Assumed)
Disclaimer
This model is for creative and educational purposes.
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Model tree for phanthang/DreamBooth_Doraemon
Base model
runwayml/stable-diffusion-v1-5