Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
image-to-image
disney
Instructions to use Molkaatb/DisneyModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Molkaatb/DisneyModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Molkaatb/DisneyModel", 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
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Molkaatb/DisneyModel", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Disney-Style Portrait Generator
This model is fine-tuned on Disney-style images using Stable Diffusion. It generates Disney-style portraits from text prompts.
Usage
from diffusers import StableDiffusionPipeline
import torch
# Load the model
model = StableDiffusionPipeline.from_pretrained("Molkaatb/DisneyModel", torch_dtype=torch.float16).to("cuda")
# Generate an image
prompt = "A Disney-style portrait of a princess"
image = model(prompt).images[0]
image.save("disney_princess.png")
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