Instructions to use stdstu123/LynnReal-Onmi-beta-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stdstu123/LynnReal-Onmi-beta-0.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stdstu123/LynnReal-Onmi-beta-0.1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
lynnreal_omni_flash_int8_lite: Requesting support for LoRA.
I tested this model and found it to be quite fast—almost twice the speed of the Base model—but it doesn't seem compatible with various LoRAs designed for H3;
The LoRA loader in ComfyUI throws an error and fails to work;
Could you please update it to support ComfyUI LoRAs? Thanks!
[WARNING] lora key not loaded: diffusion_model.blocks.42.attn.out_proj.alpha [WARNING] lora key not loaded: diffusion_model.blocks.42.attn.qkv_proj.alpha [WARNING] lora key not loaded: diffusion_model.blocks.42.mlp.fc1.alpha [WARNING] lora key not loaded: diffusion_model.blocks.42.mlp.fc2.alpha [WARNING] lora key not loaded: diffusion_model.blocks.43.attn.out_proj.alpha [WARNING] lora key not loaded: diffusion_model.blocks.43.attn.qkv_proj.alpha
lynnreal_omni_flash_int8_lite.safetensors
