Text-to-Image
Diffusers
English
Arabic
StableDiffusionXLPipeline
stable-diffusion-xl
sdxl
fused-model
merged-checkpoint
full-model
king2
image-generation
Instructions to use RASHID778/king2-image-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RASHID778/king2-image-full with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RASHID778/king2-image-full", 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
File size: 443 Bytes
d8d1e94 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"seed": 42,
"steps": 28,
"guidance": 7.5,
"lora_scale_fused": 1.0,
"full_load_sec": 96.0,
"full_vram_peak_gb": 7.05,
"mae_base_vs_full_EN1": 26.88,
"mae_lora_vs_full_EN1": 1.73,
"mae_base_vs_full_EN2": 36.24,
"mae_lora_vs_full_EN2": 1.02,
"param_full_vs_base": {
"max_absdiff": 0.0,
"changed(>1e-3)": 0,
"n": 0
},
"param_full_vs_lora": {
"max_absdiff": 0.0,
"changed(>1e-3)": 0,
"n": 0
}
} |