Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use NadaGh/working with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NadaGh/working with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NadaGh/working", dtype=torch.bfloat16, device_map="cuda") prompt = "tst chair" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download diffusers/.github/ISSUE_TEMPLATE/feature_request.md from NadaGh/working: direct link, hf CLI and curl.
- Browser
- Download file 612 Bytes
-
https://huggingface.co/NadaGh/working/resolve/main/diffusers/.github/ISSUE_TEMPLATE/feature_request.md
- Command line
-
hf download hf://NadaGh/working/diffusers/.github/ISSUE_TEMPLATE/feature_request.md
-
curl -L -o feature_request.md https://huggingface.co/NadaGh/working/resolve/main/diffusers/.github/ISSUE_TEMPLATE/feature_request.md
612 Bytes
metadata
name: 🚀 Feature Request
about: Suggest an idea for this project
title: ''
labels: ''
assignees: ''
Is your feature request related to a problem? Please describe. A clear and concise description of what the problem is. Ex. I'm always frustrated when [...].
Describe the solution you'd like. A clear and concise description of what you want to happen.
Describe alternatives you've considered. A clear and concise description of any alternative solutions or features you've considered.
Additional context. Add any other context or screenshots about the feature request here.