Instructions to use DevWild/sanch0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DevWild/sanch0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DevWild/sanch0") prompt = "shirtless sanch0 dancing at the underground rave" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
sanch0
Model trained with AI Toolkit by Ostris

- Prompt
- shirtless sanch0 dancing at the underground rave

- Prompt
- sanch0 eating big ice cream on the beach
Trigger words
You should use sanch0 to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('DevWild/sanch0', weight_name='sanch0.safetensors')
image = pipeline('shirtless sanch0 dancing at the underground rave').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for DevWild/sanch0
Base model
black-forest-labs/FLUX.1-schnell