Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use monicho/SDXL-RetroFuture2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use monicho/SDXL-RetroFuture2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("monicho/SDXL-RetroFuture2") prompt = "Retro future" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from monicho/SDXL-RetroFuture2: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/monicho/SDXL-RetroFuture2/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://monicho/SDXL-RetroFuture2/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/monicho/SDXL-RetroFuture2/resolve/main/checkpoint-500/optimizer.bin
47.4 MB
- Xet hash:
- a12d09d69195f0f080acaf31d8fbbe906682f594db70a80f51c51d170f62e785
- Size of remote file:
- 47.4 MB
- SHA256:
- 2660d31ad63fd06caaae28a2b04e9a2f43cc236b8e10190f487a88cfad9f3440
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