Text-to-Image
Diffusers
English
stable-diffusion
role-playing game
art generation
flux1
Eval Results (legacy)
Instructions to use Anashel/rpg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Anashel/rpg with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Anashel/rpg", 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
| # copyright zxix 2022 | |
| # https://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| import torch | |
| import pickle_inspector | |
| import sys | |
| from pathlib import Path | |
| debug = len(sys.argv) == 3 | |
| dir = sys.argv[1] | |
| print("checking dir: " + dir) | |
| BASE_DIR = Path(dir) | |
| EXTENSIONS = {'.pt', '.bin', '.ckpt'} | |
| BAD_CALLS = {'os', 'shutil', 'sys', 'requests', 'net'} | |
| BAD_SIGNAL = {'rm ', 'cat ', 'nc ', '/bin/sh '} | |
| for path in BASE_DIR.glob(r'**/*'): | |
| if path.suffix in EXTENSIONS: | |
| print("") | |
| print("..." + path.as_posix()) | |
| result = torch.load(path.as_posix(), pickle_module=pickle_inspector.pickle) | |
| result_total = 0 | |
| result_other = 0 | |
| result_calls = {} | |
| result_signals = {} | |
| result_output = "" | |
| for call in BAD_CALLS: | |
| result_calls[call] = 0 | |
| for signal in BAD_SIGNAL: | |
| result_signals[signal] = 0 | |
| for c in result.calls: | |
| for call in BAD_CALLS: | |
| if (c.find(call + ".") == 0): | |
| result_calls[call] += 1 | |
| result_total += 1 | |
| result_output += "\n--- found lib call (" + call + ") ---\n" | |
| result_output += c | |
| result_output += "\n---------------\n" | |
| break | |
| for signal in BAD_SIGNAL: | |
| if (c.find(signal) > -1): | |
| result_signals[signal] += 1 | |
| result_total += 1 | |
| result_output += "\n--- found malicious signal (" + signal + ") ---\n" | |
| result_output += c | |
| result_output += "\n---------------\n" | |
| break | |
| if ( | |
| c.find("numpy.") != 0 and | |
| c.find("_codecs.") != 0 and | |
| c.find("collections.") != 0 and | |
| c.find("torch.") != 0): | |
| result_total += 1 | |
| result_other += 1 | |
| result_output += "\n--- found non-standard lib call ---\n" | |
| result_output += c | |
| result_output += "\n---------------\n" | |
| if (result_total > 0): | |
| for call in BAD_CALLS: | |
| print("library call (" + call + ".): " + str(result_calls[call])) | |
| for signal in BAD_SIGNAL: | |
| print("malicious signal (" + signal + "): " + str(result_signals[signal])) | |
| print("non-standard calls: " + str(result_other)) | |
| print("total: " + str(result_total)) | |
| print("") | |
| print("SCAN FAILED") | |
| if (debug): | |
| print(result_output) | |
| else: | |
| print("SCAN PASSED!") | |