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("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("CoolKrishh/mythic-sdxl")

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

Mythic SDXL (LoRA Merged) β€” Inference Ready

This model is a Stable Diffusion XL 1.0 pipeline merged with a custom LoRA, exported in full Diffusers format and ready for Hugging Face Inference API.

βœ… Supports

  • Hugging Face Text-to-Image Inference API
  • InferenceClient.text_to_image
  • Diffusers StableDiffusionXLPipeline

🧬 Model details

  • Base model: SDXL 1.0
  • Finetune method: LoRA (merged into UNet + Text Encoders)
  • Format: Full Diffusers pipeline (not standalone safetensors)
  • Precision: FP16

πŸš€ Quick Inference

from huggingface_hub import InferenceClient

client = InferenceClient("CoolKrishh/mythic-sdxl")
img = client.text_to_image("dark comic hero with red lightning")
img.save("output.png")
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