mozci/tinysketch
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How to use mozci/nonstablediff with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("mozci/nonstablediff")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Stable diffusion fine-tuning to achieve simple sketches as the outputs. These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the mozci/tinysketch dataset. You can find some example images in the following.
Base model
CompVis/stable-diffusion-v1-4