Text-to-Image
Diffusers
Safetensors
FluxPipeline
FLUX
FLUX-diffusers
diffusers-training
textual_inversion
Instructions to use rangwani-harsh/logs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rangwani-harsh/logs with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("rangwani-harsh/logs") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_0.png from rangwani-harsh/logs: direct link, hf CLI and curl.
- Browser
- Download file 1.65 MB
-
https://huggingface.co/rangwani-harsh/logs/resolve/main/image_0.png
- Command line
-
hf download hf://rangwani-harsh/logs/image_0.png
-
curl -L -o image_0.png https://huggingface.co/rangwani-harsh/logs/resolve/main/image_0.png
1.65 MB

- Xet hash:
- 0c1126ed56e8474ce90f142d74fe3a01ca9a53f7ded8b2cb24fa4fcca97c424f
- Size of remote file:
- 1.65 MB
- SHA256:
- e3b4bb64bd19d086b6f738761d15bca1a82252a8a1bc2ce35c4fb0cb5daf0629
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