Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use refoundd/NailoongImage2Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use refoundd/NailoongImage2Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("refoundd/NailoongImage2Image") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-3/optimizer.bin from refoundd/NailoongImage2Image: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/refoundd/NailoongImage2Image/resolve/main/checkpoint-3/optimizer.bin
- Command line
-
hf download hf://refoundd/NailoongImage2Image/checkpoint-3/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/refoundd/NailoongImage2Image/resolve/main/checkpoint-3/optimizer.bin
6.59 MB
- Xet hash:
- 74721b039329fff002c6da17ed77d1b99052a0786afb5aefe8c18c4c0334f62d
- Size of remote file:
- 6.59 MB
- SHA256:
- 9e160fd2aa4edc37a06b88288510ca674f6b0ab63579f10098e5597f36ba0129
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