Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use RobertoNeglia/pepe_generator_sd2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobertoNeglia/pepe_generator_sd2 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-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("RobertoNeglia/pepe_generator_sd2") 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 image_1.png from RobertoNeglia/pepe_generator_sd2: direct link, hf CLI and curl.
- Browser
- Download file 874 kB
-
https://huggingface.co/RobertoNeglia/pepe_generator_sd2/resolve/main/image_1.png
- Command line
-
hf download hf://RobertoNeglia/pepe_generator_sd2/image_1.png
-
curl -L -o image_1.png https://huggingface.co/RobertoNeglia/pepe_generator_sd2/resolve/main/image_1.png
874 kB

- Xet hash:
- 45c58d5a75a4cc62e53ecc6ca0c081d3187af62108adedcb7a7139a5c580c5a3
- Size of remote file:
- 874 kB
- SHA256:
- e20668ea05a0d96604cc541a871ebee76d811242d247da2c20e9c29f4775a733
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