Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/FumizukiMix_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/FumizukiMix_v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/FumizukiMix_v1", torch_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 Settings
- Draw Things
- DiffusionBee
Model info pic
#1
by digiplay - opened
Original Author's DEMO image and prompt
detail pic generate info
8620 (Maitetsu),masterpiece, best quality, ultra-detailed, illustration,looking at viewer,white chinese clothes,:d,sitting,(Impressionism:1.4),
Negative prompt: (Worst Quality, Low Quality:1.4), (Poorly Made Bad 3D, Lousy Bad Realistic:1.1), (too many fingers:1.61051),animal,empty eyes,white hair,8620 (uniform),black dress
Steps: 36, RNG: CPU, Size: 640x960, Seed: 2502687798, Model: FumizukiMix, Version: v1.4.0-1-g062481c5, Sampler: DPM++ SDE Karras, CFG scale: 7, Clip skip: 2, Model hash: eab97fb14d, Hires steps: 15, Hires upscale: 1.5, Hires upscaler: Latent, Denoising strength: 0.52

