Instructions to use Dikshan1234/ImageGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Dikshan1234/ImageGen 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("Dikshan1234/ImageGen") 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
File size: 681 Bytes
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"base_model_name_or_path": null,
"bias": "none",
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"inference_mode": false,
"init_lora_weights": "gaussian",
"layer_replication": null,
"layers_pattern": null,
"layers_to_transform": null,
"loftq_config": {},
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"megatron_config": null,
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"target_modules": [
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