Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use RobertoNeglia/pepe_generator_sd2_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobertoNeglia/pepe_generator_sd2_v2 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_v2") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- ec18983d98178b23fc2aaa69741670863c2044621650f05985fa6d5aee2ab438
- Size of remote file:
- 859 kB
- SHA256:
- 02402f116b34a82217b998a832e86d50208bc4650c9b49ffb30f9f1268c2061f
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