Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
anime
game
cartoon
furry
pop culture
digital art
pony
Instructions to use John6666/ohara-pdxl-v3-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use John6666/ohara-pdxl-v3-sdxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/ohara-pdxl-v3-sdxl", dtype=torch.bfloat16, device_map="cuda") 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
| { | |
| "_class_name": "EDMDPMSolverMultistepScheduler", | |
| "_diffusers_version": "0.30.0.dev0", | |
| "algorithm_type": "dpmsolver++", | |
| "beta_end": 0.012, | |
| "beta_schedule": "scaled_linear", | |
| "beta_start": 0.00085, | |
| "clip_sample": false, | |
| "dynamic_thresholding_ratio": 0.995, | |
| "euler_at_final": false, | |
| "final_sigmas_type": "zero", | |
| "interpolation_type": "linear", | |
| "lower_order_final": true, | |
| "num_train_timesteps": 1000, | |
| "prediction_type": "epsilon", | |
| "rho": 7.0, | |
| "sample_max_value": 1.0, | |
| "set_alpha_to_one": false, | |
| "sigma_data": 0.5, | |
| "sigma_max": 80.0, | |
| "sigma_min": 0.002, | |
| "sigma_schedule": "karras", | |
| "skip_prk_steps": true, | |
| "solver_order": 2, | |
| "solver_type": "midpoint", | |
| "steps_offset": 1, | |
| "thresholding": false, | |
| "timestep_spacing": "leading", | |
| "trained_betas": null, | |
| "use_karras_sigmas": false | |
| } | |