Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
sdxl
image-generation
lora
Instructions to use CoolKrishh/mythic-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CoolKrishh/mythic-sdxl with Diffusers:
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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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.
β Supports
- Hugging Face Text-to-Image Inference API
InferenceClient.text_to_image- Diffusers
StableDiffusionXLPipeline
𧬠Model details
- Base model: SDXL 1.0
- Finetune method: LoRA (merged into UNet + Text Encoders)
- Format: Full Diffusers pipeline (not standalone safetensors)
- Precision: FP16
π 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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Model tree for CoolKrishh/mythic-sdxl
Base model
stabilityai/stable-diffusion-xl-base-1.0