How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("cutycat2000x/InterDiffusion-3.5", dtype=torch.bfloat16, device_map="cuda")

prompt = "a smiling girl with sparkles in her eyes, walking in a garden, in the morning --style anime"
image = pipe(prompt).images[0]
  • Size: 6.5 GB
  • Text: Partly
  • Prompt: 200 words - sentences
  • Base: InterDiffusion-3
  • Recommended Size: 1920x1088
  • Recommended Steps: 70
  • Demo: https://discord.gg/9vvZVjBHAN

Examples:

Prompt
a smiling girl with sparkles in her eyes, walking in a garden, in the morning --style anime
Prompt
firewatch landscape, Graphic Novel, Pastel Art, Poster, Golden Hour, Electric Colors, 4k, RGB, Geometric, Volumetric, Lumen Global Illumination, Ray Tracing Reflections, Twisted Rays, Glowing Edges, RTX --raw
Prompt
Samsung Galaxy S9
Prompt
cat, 4k, 8k, hyperrealistic, realistic, High-resolution, unreal engine 5, rtx, 16k, taken on a sony camera, Cinematic, dramatic lighting
Prompt
cinimatic closeup of burning skull
Prompt
frozen elsa
Prompt
A rainbow tree, anime style, tree in focus
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Safetensors
Model size
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Tensor type
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Inference Examples
Examples
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Dataset used to train cutycat2000x/InterDiffusion-3.5

Space using cutycat2000x/InterDiffusion-3.5 1