Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
lora
realvis
life-fx
Instructions to use Tech-Meld/Life-XL_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tech-Meld/Life-XL_V1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Tech-Meld/Life-XL_V1") 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
Delete .lightning_studio
Browse files- .lightning_studio/.studiorc +0 -4
- .lightning_studio/on_start.sh +0 -13
.lightning_studio/.studiorc
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# This script is only for your user and runs in every shell you open.
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# Example: export MY_KEY=abcd-1234
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#!/bin/bash
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# This script runs every time your Studio starts, from your home directory.
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# List files under fast_load that need to load quickly on start (e.g. model checkpoints).
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# <your file here>
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# Add your startup commands below.
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#
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# Example: streamlit run my_app.py
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# Example: gradio my_app.py
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