Instructions to use Emuixom/MySelfEmil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Emuixom/MySelfEmil with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Emuixom/MySelfEmil") 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
A newer version of this model is available: black-forest-labs/FLUX.1-dev
Emuixom/MySelfEmil - LoRA Model
This repository contains a LoRA fine-tuned version of the base model black-forest-labs/FLUX.1-dev.
How to Use
Using the Inference API
You can use this model directly via the Hugging Face Inference API:
from diffusers import StableDiffusionPipeline
# Load pipeline with LoRA weights
pipe = StableDiffusionPipeline.from_pretrained("Emuixom/MySelfEmil", torch_dtype=torch.float16)
# Run inference
prompt = "Your descriptive prompt here"
image = pipe(prompt).images[0]
# Display the image
image.show()
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Base model
black-forest-labs/FLUX.1-dev