Eliseu Silva
Eliseu Silva
### File Name prompt/examples/* ### What happened? Last progress verification is not working:  inspecting networking is getting 302 error  On first lab (Prompt Design in Vertex AI): I...
When i try replicate infer_style example in diffusers pipeline didnt work: i have this error in sdp attention: ``` Exception has occurred: TypeError (note: full exception trace is shown but...
### What Operating System(s) are you seeing this problem on? Windows ### dlib version 19.24 ### Python version 3.10.11 ### Compiler MSVC 2022 ### Expected Behavior I want use these...
- [yes ] I have searched to see if a similar issue already exists. **Is your feature request related to a problem? Please describe.** A clear and concise description of...
### Describe the bug Hi guys, i again. I'm experiencing a new bug. When I add a component dynamically and change its value everything is fine. So if I remove...
@wangqixun can you remove this "RPMultiControlNetModel" value from "controlnet_list": on your model_index.json i am getting warnings like "The config attributes {'controlnet_list': ['controlnet', 'RPMultiControlNetModel']} were passed to StableDiffusionXLInstantIDPipeline, but are not...
### Describe the bug Hi guys i am getting error when events inside dynamic render are triggered and they have .then() to some function. I think is some problem of...
### Describe the bug I am facing some bugs after gradio 5, some classes of theme is not applying properly and some components is rendering buged. 1 - Block border...
### Describe the bug When I have an image editing component next to an image component, I noticed that the alignment of the image to the editor canvas is not...
```py from latent_interposer import ComfyLatentInterposer from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler from diffusers import AutoencoderKL from diffusers.image_processor import VaeImageProcessor import torch device="cuda" pipe = StableDiffusionPipeline.from_single_file("F:\\models\\Stable-diffusion\\sd1\\epicrealism_pureEvolution.safetensors", torch_dtype=torch.bfloat16) pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config) pipe.to(device) pipe.enable_model_cpu_offload()...