Text-to-Image
Diffusers
Safetensors
English
ErnieImagePipeline
art
stable-diffusion
ernie
turbo
nf4
asset-editor
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Veetance/ERNIE-Turbo-NF4", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]ERNIE-Turbo-NF4 | Debloated
This repository contains the ERNIE-Turbo weights, debloated and quantized to 4-bit NF4 using bitsandbytes. This is the high-speed distilled variant optimized for 1-4 step inference within the Asset Editor ecosystem.
🚀 Model Details
- Architecture: ERNIE Image Transformer (Distilled Turbo)
- Backbone: Mistral-3 Text Encoder
- Quantization: NF4 (NormalFloat 4-bit)
- Primary Use: Lightning-fast image synthesis (1-4 steps).
🛠 Integration
Optimized for the Asset Editor Zerodrag pipeline.
🔗 Links
- Core Engine: Veetance Asset Editor
- Triage & Development: Asset Editor GitHub
Note: This is a specialized manifold optimized for the Veetance sovereign resource governor.
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