Unconditional Image Generation
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
diffusion-models-class
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("maa5iv/DGM-Fine-Tuned-Model-Project", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class 🧨
The runwayml/stable-diffusion-v1-5 model fine-tuned on the FairFaces dataset to increase diversity. Part of DGM project
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('maa5iv/DGM-Fine-Tuned-Model-Project')
image = pipeline().images[0]
image
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