Instructions to use victor/my_first_lora_v1444-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use victor/my_first_lora_v1444-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("victor/my_first_lora_v1444-lora") 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
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Download README.md from victor/my_first_lora_v1444-lora: direct link, hf CLI and curl.
- Browser
- Download file 1.26 kB
-
https://huggingface.co/victor/my_first_lora_v1444-lora/resolve/main/README.md
- Command line
-
hf download hf://victor/my_first_lora_v1444-lora/README.md
-
curl -L -o README.md https://huggingface.co/victor/my_first_lora_v1444-lora/resolve/main/README.md
1.26 kB
metadata
tags:
- text-to-image
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: Qwen/Qwen-Image
license: creativeml-openrail-m
inference:
parameters:
width: 1024
height: 1024
my_first_lora_v1444-lora
Model trained with AI Toolkit by Ostris
Trigger words
No trigger words defined.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('Qwen/Qwen-Image', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('victor/my_first_lora_v1444-lora', weight_name='my_first_lora_v1444_000000250.safetensors')
image = pipeline('a beautiful landscape').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers