Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Cartoon
Illustration
Anime
s6yx
Zovya
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/SillySymphonies with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/SillySymphonies with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/SillySymphonies", 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 Settings
- Draw Things
- DiffusionBee
Download scheduler/scheduler_config.json from Yntec/SillySymphonies: direct link, hf CLI and curl.
- Browser
- Download file 724 Bytes
-
https://huggingface.co/Yntec/SillySymphonies/resolve/main/scheduler/scheduler_config.json
- Command line
-
hf download hf://Yntec/SillySymphonies/scheduler/scheduler_config.json
-
curl -L -o scheduler_config.json https://huggingface.co/Yntec/SillySymphonies/resolve/main/scheduler/scheduler_config.json
724 Bytes
Invalid JSON:No number after minus sign in JSONat line 11, column 26
| { | |
| "_class_name": "DPMSolverMultistepScheduler", | |
| "_diffusers_version": "0.18.0.dev0", | |
| "algorithm_type": "dpmsolver++", | |
| "beta_end": 0.012, | |
| "beta_schedule": "scaled_linear", | |
| "beta_start": 0.00085, | |
| "clip_sample": false, | |
| "clip_sample_range": 1.0, | |
| "dynamic_thresholding_ratio": 0.995, | |
| "lambda_min_clipped": -Infinity, | |
| "lower_order_final": true, | |
| "num_train_timesteps": 1000, | |
| "prediction_type": "epsilon", | |
| "rescale_betas_zero_snr": false, | |
| "sample_max_value": 1.0, | |
| "set_alpha_to_one": false, | |
| "solver_order": 2, | |
| "solver_type": "midpoint", | |
| "steps_offset": 1, | |
| "thresholding": false, | |
| "timestep_spacing": "leading", | |
| "trained_betas": null, | |
| "use_karras_sigmas": false, | |
| "variance_type": null | |
| } |