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("speach1sdef178/Project0_PJ0_Krea_v3_FP8_FP16", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Project0_PJ0_Krea_v3_FP8_FP16

Updated version with improved realism and details.

Recommended samplers: Euler/Simple and 20-30 steps


Examples

пример 1
пример 2
пример 3
пример 4
пример 5
пример 6
пример 7
пример 8 пример 9 пример 10 пример 11
пример 12 пример 13 пример 14 пример 15 пример 16 пример 17 пример 18


License

Base model: FLUX.1-dev by Black Forest Labs

Downloads last month
3
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for speach1sdef178/Project0_PJ0_Krea_v3_FP8_FP16

Quantizations
2 models