Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
hidream
hidream-diffusers
template:sd-lora
Instructions to use Nomnoos/trained-hidream-lora-pickle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nomnoos/trained-hidream-lora-pickle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HiDream-ai/HiDream-I1-Dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Nomnoos/trained-hidream-lora-pickle") prompt = "a photo of a man in cafe" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 4db6271e6ac9dcbcbfc7b21d65bfab141b97868d2f9767a84aaf24c02d7d95c4
- Size of remote file:
- 1.58 MB
- SHA256:
- 4c74d0464c38bf7f4ab790e89d1984104d839abf3040e1ed04d30e94263f6e6f
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